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How to Protect Yourself from Cyber Threats

How to Protect Yourself from Cyber Threats
How to Protect Yourself from Cyber Threats in India | TheControlCheck

How to Protect Yourself from Cyber Threats

A complete, practical cyber security guide for Indian users — with real examples of UPI scams, WhatsApp OTP fraud, phishing, and fake customer care traps.

Introduction

Cyber threats are no longer limited to hackers targeting large companies. In India, cyber crimes mostly target ordinary users through UPI calls, WhatsApp messages, fake customer care numbers, SMS links, and QR code scams.

Most cyber attacks succeed not because of advanced technology, but because of panic, urgency, and lack of awareness.

Understanding Cyber Threats

  • Phishing emails, SMS, and WhatsApp messages
  • UPI refund and QR code scams
  • Malware and spyware infections
  • Identity theft and SIM swap fraud
  • Account takeover attacks

Strong Password Practices

  • Never reuse passwords across platforms
  • Use 12–16 character long passwords
  • Avoid personal information
  • Use password managers
Reality: One leaked password can unlock your email, banking, and social media together.

Two-Factor Authentication (2FA)

2FA ensures that even if your password is compromised, attackers cannot access your account.

  • Enable 2FA on email and UPI apps
  • Use authenticator apps instead of SMS where possible

Phishing & WhatsApp OTP Fraud

Indian Context: Banks, UPI apps, and government departments never ask for OTPs or PINs on calls or WhatsApp.
  • Fake KYC update messages
  • Lottery, job offer, and courier scams
  • Fake income tax or electricity bill alerts

UPI, QR Code & Fake Customer Care Scams

Common Scam: Fraudsters ask users to scan a QR code to receive money. Scanning a QR code always sends money.
  • Never share UPI PIN
  • Never scan QR codes sent by strangers
  • Contact customer care only via official apps

Public Wi-Fi Risks

  • Avoid banking on public Wi-Fi
  • Prefer mobile hotspot
  • Use VPN if required

Software Updates & Fake Apps

  • Install updates regularly
  • Avoid Mod APKs and cracked software
  • Check app permissions carefully

Data Backup – Last Line of Defense

  • Maintain cloud and offline backups
  • Automate backup schedules
  • Test restoration periodically

Conclusion: You Are the First Firewall

Cybersecurity is not about fear, but about habits. Awareness can prevent most cyber crimes before they occur.

Stay alert. Stay informed. Stay secure.

Frequently Asked Questions (FAQs)

  1. What is the most common cyber scam in India? – Phishing and UPI fraud.
  2. Can banks ask for OTP on calls? – Never.
  3. Is scanning QR code safe? – Only when you are paying someone.
  4. Are WhatsApp messages safe? – Only from verified contacts.
  5. What should I do after UPI fraud? – Report immediately via bank and cybercrime.gov.in.
  6. Is antivirus required on mobile? – Optional but helpful.
  7. Are public Wi-Fi networks safe? – Mostly unsafe.
  8. Do password managers store passwords securely? – Yes.
  9. Can software updates prevent hacking? – Yes.
  10. Is cyber security only for IT users? – No, it is for everyone.

Cyber Security Quick Quiz

  1. Scanning QR code always receives money? (False)
  2. Banks ask OTP via WhatsApp? (False)
  3. Same password everywhere is safe? (False)
  4. Public Wi-Fi is secure for banking? (False)
  5. 2FA improves security? (True)
  6. Mod APKs can contain malware? (True)
  7. Updates fix vulnerabilities? (True)
  8. OTP should be shared with customer care? (False)
  9. Backups protect from ransomware? (True)
  10. You are the first firewall? (True)
© TheControlCheck | Cyber Awareness & GRC Insights

Step-by-Step AI Governance Framework for SMEs Amid Google Gemini Adoption Trends

Step-by-Step AI Governance Framework for SMEs Amid Google Gemini Adoption Trends

Step-by-Step AI Governance Framework for SMEs Amid Google Gemini Adoption Trends

Artificial Intelligence adoption is rapidly expanding beyond large enterprises. In 2025–2026, small and medium-sized enterprises (SMEs) are increasingly using AI-powered tools for automation, analytics, and decision support. Assistants similar to Google Gemini have lowered entry barriers, but they have also increased governance risks.

👉 Take a moment to list where AI is already being used in your business.

What is an AI Governance Framework for SMEs?

An AI governance framework for SMEs is a structured set of policies, roles, controls, and oversight mechanisms designed to ensure AI systems are used responsibly, securely, and ethically, while managing risks related to data privacy, bias, compliance, and accountability.

👉 Ask yourself: who would be accountable if an AI-generated decision goes wrong?

Why AI Governance Matters for SMEs

AI governance is not only a regulatory concern. SMEs face disproportionate AI risks due to limited resources, informal controls, and reliance on third-party AI tools. Customers expect transparency; regulators are watching.

👉 Identify one AI-related risk that could impact customer trust this quarter.

Step-by-Step AI Governance Framework for SMEs

Step 1: Define AI Use Cases and Objectives

Documenting all AI tools and workflows is the foundation of effective AI governance for SMEs. This includes not only officially approved AI systems but also pilot projects, free tools, browser-based AI assistants, and experimental usage by teams. Many organizations underestimate how widely AI is already embedded in daily operations, especially through informal adoption. Shadow AI often emerges when employees independently use generative AI tools for drafting emails, analyzing data, writing code, or creating reports without management visibility. While these tools can improve productivity, undocumented AI usage introduces serious risks such as unintended data exposure, inconsistent decision-making, regulatory non-compliance, and loss of accountability. SMEs should create a simple AI inventory that captures where AI is used, for what purpose, what type of data is involved, and who is responsible for the output. The goal at this stage is not to block innovation, but to establish visibility. Once AI usage is clearly documented, organizations can apply proportional controls, assess risks realistically, and align AI activities with business objectives instead of reacting to issues after damage occurs.

👉 Write down three AI use cases and map each to a business objective.

Step 2: Assign AI Ownership

Assigning an AI Owner for each critical use case is a key governance requirement and aligns directly with ISO/IEC 42001 Clause 5 (Leadership), which emphasizes clear accountability within an Artificial Intelligence Management System (AIMS). The AI Owner is a named individual within the organization who is responsible for how the AI system is used, the reliability of its outputs, and the risks it introduces to the business. In many SMEs, responsibility for AI is often assumed to sit with IT teams or external vendors. However, ISO/IEC 42001 expects accountability to remain internal. Vendors may provide technology, but they do not own business decisions or regulatory consequences. By assigning an AI Owner, organizations ensure that AI usage aligns with business objectives, legal requirements, and ethical expectations. The AI Owner acts as the first point of escalation for AI-related issues, understands the data being processed, and ensures that appropriate controls are applied throughout the AI lifecycle. This role supports leadership oversight, prevents accountability gaps, and enables responsible AI adoption without slowing innovation—exactly as intended under Clause 5.3 of the AIMS framework.

👉 Nominate an AI Owner for your most impactful AI use case this week.

Step 3: Conduct AI Risk Assessment

Assessing AI risks across data privacy, bias, explainability, security, and regulatory exposure is a core requirement of responsible AI governance and aligns directly with ISO/IEC 42001 Clause 6 (Planning), which emphasizes risk-based thinking within the Artificial Intelligence Management System (AIMS). SMEs should evaluate how AI systems process sensitive data, whether outputs may introduce bias, how explainable decisions are, and what security or compliance risks may arise from AI usage. Rather than adopting complex enterprise-level models, SMEs can apply a simple Low / Medium / High risk scale to each AI use case. This approach supports proportional governance by helping organizations focus attention and controls where the potential impact is greatest. For example, an AI tool handling customer personal data or influencing business decisions would typically be rated higher risk than an internal productivity assistant. This structured risk assessment enables organizations to plan appropriate controls, prioritize mitigation actions, and align AI usage with legal and ethical expectations. By documenting risks and their treatment, SMEs demonstrate compliance with Clause 6.1 of ISO/IEC 42001, ensuring that AI-related risks are identified, evaluated, and addressed before they escalate into operational or regulatory incidents.

👉 Rate one AI use case as Low, Medium, or High risk and note why.

Step 4: Establish AI Policies

Creating concise and enforceable AI policies is essential to translate AI governance intent into day-to-day practice and aligns directly with ISO/IEC 42001 Clause 8 (Operation), which focuses on implementing and controlling AI processes within the Artificial Intelligence Management System (AIMS). These policies should clearly define acceptable AI use, explicitly prohibit the upload of sensitive or confidential data, and mandate human-in-the-loop controls for high-impact or critical AI-driven actions. For SMEs, AI policies should be short, easy to understand, and embedded into existing workflows rather than complex legal documents. An acceptable use policy clarifies when and how AI tools may be used for business purposes, while prohibited data rules prevent employees from unintentionally exposing personal data, intellectual property, or regulated information to external AI systems. Human-in-the-loop requirements ensure that AI outputs supporting decisions related to customers, finances, or compliance are reviewed and approved by a responsible individual before action is taken. By implementing these operational controls, organizations ensure that AI systems are used consistently, safely, and in alignment with business and regulatory expectations. This approach directly supports ISO/IEC 42001 Clause 8.1, which requires organizations to establish, implement, and maintain controlled AI operations—enabling innovation while reducing the likelihood of AI-related incidents and misuse.

👉 Share one policy you will introduce to limit sensitive data uploads to AI tools.

Step 5: Monitor AI Performance

Performing periodic output reviews, accuracy checks, and basic drift detection is a critical part of maintaining trust and control over AI systems and aligns directly with ISO/IEC 42001 Clause 9 (Performance Evaluation). SMEs should regularly review AI outputs to confirm that results remain accurate, relevant, and consistent with the original business intent, especially as data, context, or usage patterns change over time. AI models—particularly generative and predictive systems—can gradually degrade in quality or behave differently due to changing inputs, updated models from vendors, or evolving user behavior. Simple drift detection does not require advanced tooling; it can involve comparing recent outputs with earlier results, checking for unusual patterns, or validating samples against known correct outcomes. These reviews help identify bias, hallucinations, or performance drops before they impact customers or decision-making. Logging AI usage further strengthens governance by providing visibility into when, how, and by whom AI tools are being used. Usage logs support accountability, incident investigation, and continuous improvement by creating evidence of control effectiveness. Together, monitoring activities and usage logging support ISO/IEC 42001 Clause 9.1, enabling organizations to evaluate AI performance, verify control effectiveness, and make informed decisions about corrective actions or improvements..

👉 Sample five recent AI outputs and check for accuracy or bias.

Step 6: Incident Response

Defining a clear process for reporting, investigating, and responding to AI-related incidents is critical to maintaining control and trust, and aligns directly with ISO/IEC 42001 Clause 10 (Improvement) of the Artificial Intelligence Management System (AIMS). AI incidents may include incorrect or biased outputs, data leakage, unintended automation actions, regulatory complaints, or misuse of AI tools by employees. SMEs should establish a simple and accessible reporting mechanism so that AI-related issues are escalated quickly without fear of blame. Once reported, incidents should be investigated to understand root causes, such as data quality issues, model limitations, human oversight failures, or policy violations. Corrective actions may include retraining users, adjusting controls, restricting access, updating policies, or modifying how AI outputs are reviewed. Clear criteria must also be defined for pausing or suspending AI services when the risk or impact exceeds acceptable thresholds. This ensures that potentially harmful AI behavior does not continue while remediation is underway. By documenting incidents, actions taken, and lessons learned, organizations support continual improvement and demonstrate compliance with ISO/IEC 42001 Clause 10.1, which requires organizations to address nonconformities and take corrective actions to prevent recurrence.

👉 Draft a one-line reporting channel for AI incidents (e.g., ai-issues@yourcompany).

Step 7: Continuous Improvement

Reviewing AI governance at least annually, updating policies, and providing regular refresher training is essential to ensure that the Artificial Intelligence Management System (AIMS) remains effective as AI usage, regulations, and business contexts evolve. This practice aligns directly with ISO/IEC 42001 Clause 10 (Improvement), which requires organizations to continually enhance the suitability, adequacy, and effectiveness of their AI governance framework. Annual governance reviews help SMEs evaluate whether existing policies, controls, and risk assessments still reflect how AI is actually being used. Changes such as new AI tools, expanded use cases, regulatory updates, or lessons learned from incidents should trigger updates to policies and procedures. Without periodic review, AI governance quickly becomes outdated and ineffective. Refresher training ensures that employees understand updated rules, recognize emerging risks, and apply AI responsibly in their daily work. Training does not need to be complex; short awareness sessions, examples of acceptable and prohibited AI use, and reminders about accountability are often sufficient. By systematically reviewing governance and reinforcing expectations through training, organizations demonstrate alignment with ISO/IEC 42001 Clause 10.2, embedding continuous improvement into AI operations and reducing the likelihood of repeat failures.

👉 Want to go deeper into ISO 42001 and practical AI risk management? Explore our detailed guide on ISO 42001: AI Governance, Risk Management & Responsible AI Framework to understand how SMEs can implement AIMS effectively.

ISO/IEC 42001 Mapping for SMEs

Governance AreaISO/IEC 42001 ClauseSME Example
Context & ScopeClause 4Document AI use cases
LeadershipClause 5Assign AI Owner
Planning (Risk)Clause 6AI risk register
OperationsClause 8AI usage controls
MonitoringClause 9Output reviews
ImprovementClause 10Annual review
👉 Identify which ISO 42001 clause you partially meet today and note one gap.

Common AI Governance Mistakes to Avoid

Avoid treating AI as just another IT tool, allowing unrestricted access, ignoring data classification, or copying enterprise models verbatim. Start small and practical.

👉 Pick one mistake you will fix this month (e.g., restrict sensitive data prompts).

Frequently Asked Questions

What is AI governance in simple terms?

+
AI governance means setting clear rules, accountability, and controls for how AI systems are used to reduce risks like bias, data misuse, and non-compliance.

Do SMEs really need AI governance?

+
Yes. SMEs face legal, ethical, and reputational risks from AI usage just like larger organisations—governance helps manage those risks pragmatically.

Is ISO/IEC 42001 mandatory?

+
No. ISO/IEC 42001 is not mandatory, but it offers a structured international reference to build responsible AI management systems.

Does AI governance slow innovation?

+
Not if done right. Lightweight governance protects innovation by preventing costly mistakes and building customer trust.

How often should AI governance be reviewed?

+
At least annually, and whenever there are major AI changes or incidents.

What is shadow AI?

+
Shadow AI refers to AI tools and projects used in the organisation without formal approval, documentation, or governance controls.

Who owns AI risk?

+
An assigned AI Owner within the business should own AI risk—vendors support but do not assume full responsibility for business outcomes.

Is AI governance only technical?

+
No. It covers people, processes, policies, and technology together.

Can SMEs adopt ISO 42001 partially?

+
Yes. SMEs can implement key principles and controls from ISO 42001 without full certification to achieve practical governance benefits.

Why is AI governance critical in 2026?

+
Because AI adoption is accelerating while regulatory scrutiny and expectations for transparency and fairness are increasing globally.

AI Governance Readiness Quiz

Test your understanding. Select one option per question and press Submit Quiz.

1. What is the main goal of AI governance?

2. Who should be accountable for AI outcomes in an SME?

3. What is "shadow AI"?

4. Which ISO/IEC 42001 clause focuses on risk planning?

5. What is the biggest data-related risk when using generative AI tools?

6. How often should SMEs review their AI governance controls?

7. Which metric best supports AI governance monitoring?

8. Why is assigning an AI owner important?

9. What should an SME do first after detecting an AI-related incident?

10. Why is AI governance becoming critical for SMEs in 2026?

Data Loss Prevention Framework and Lifecycle – Complete Guide

Data Loss Prevention Framework and Lifecycle – Complete Guide (2025)
Data Loss Prevention Framework and Lifecycle – Complete Guide (2025)

Data Loss Prevention Framework and Lifecycle: A Complete Guide

In the high-stakes digital environment of 2025, Data Loss Prevention (DLP) has evolved from a backend security utility into a front-line strategic capability. As organizations confront the dual pressures of AI-driven cyber threats and increasingly complex regulatory obligations, a mature DLP framework delivers the visibility required to manage human risk and safeguard proprietary algorithms. When integrated into a Zero Trust architecture, DLP ensures that sensitive data remains protected—even as it traverses decentralized, cloud-native, and highly automated workflows.

The Strategic Value of Modern DLP

Modern DLP programs extend far beyond traditional data blocking mechanisms. They now play a critical role in strengthening organizational resilience, enabling regulatory agility, and reinforcing digital trust:

  • Visibility into Shadow AI: Advanced DLP solutions detect and restrict unauthorized use of consumer-grade large language models (LLMs), preventing employees from unintentionally exposing proprietary data to public AI training environments.
  • Mitigation of Deepfake-Driven Phishing: By continuously monitoring outbound data flows, DLP acts as a protective layer against AI-powered social engineering attacks that exploit human trust to exfiltrate sensitive information.
  • Operational Resilience Against Ransomware: Beyond data protection, DLP enhances business continuity by identifying ransomware-as-a-service (RaaS) activity at the data exfiltration stage—often before encryption or system disruption occurs.
  • Regulatory Speed-to-Market: With the EU AI Act and evolving GDPR requirements now in force, automated data discovery and classification within DLP enable organizations to scale into new markets without costly, manual compliance rework.
  • Enhanced Insider Risk Management: Behavioral analytics embedded within DLP platforms distinguish legitimate business activity from anomalous or malicious data movement, significantly reducing time to detect insider-driven incidents.
  • Cloud Ecosystem Security: As cloud misconfigurations remain a leading cause of breaches, DLP provides a unified policy enforcement layer that protects sensitive data across hybrid and multi-cloud environments.
  • Quantum-Era Preparedness: Forward-looking DLP strategies are beginning to incorporate quantum-resistant cryptographic controls to mitigate “harvest now, decrypt later” threats targeting long-lived sensitive data.
  • Trust as a Competitive Differentiator: In an environment marked by frequent data breaches, a demonstrable and well-governed DLP posture strengthens customer confidence and becomes a decisive factor in B2B partnerships.
  • Supply Chain Data Protection: DLP extends governance controls beyond organizational boundaries, reducing exposure from third-party vendors and mitigating risks associated with supply chain-based data attacks.
  • Autonomous Security Through Agentic AI: Next-generation DLP platforms leverage agentic AI to autonomously quarantine sensitive data, revoke access, and enforce policies in real time—shifting defense from human response speed to machine-speed enforcement.

What Is Data Loss Prevention (DLP)?

In the high-stakes digital environment of 2025, Data Loss Prevention (DLP) has evolved from a simple gatekeeping tool into a sophisticated ecosystem of policies, tools, and controls designed to safeguard the lifeblood of modern enterprise: information. By enforcing strict protocols to prevent unauthorized access, leakage, or misuse, a mature DLP strategy ensures that sensitive data—whether it is "at rest" in local databases, "in motion" across global networks, or "in use" during collaborative sessions—remains both secure and compliant with intensifying global mandates. The modern necessity for DLP is driven by a surge in AI-powered cyber threats and Deepfake phishing, which have made traditional perimeter defenses nearly obsolete. As organizations migrate to decentralized work, they are increasingly adopting a Zero Trust architecture, where DLP acts as the final verification layer to ensure that even "authenticated" users cannot move sensitive assets without specific authorization. This is particularly critical as Agentic AI—autonomous systems capable of making their own decisions—begins to navigate corporate data, requiring DLP to monitor machine-to-machine interactions just as closely as human ones. Furthermore, the rise of Cloud security challenges and Supply chain attacks has pushed DLP to integrate more deeply with Continuous Threat Exposure Management (CTEM), allowing security teams to see risk in real-time. Organizations are also preparing for the future of "harvest now, decrypt later" by investing in Quantum-resistant cryptography, ensuring that even if data is leaked, it remains unreadable to future adversaries. Ultimately, with Ransomware-as-a-Service (RaaS) and Insider threats reaching all-time highs, DLP serves as the essential "Human Risk Management" tool, providing the visibility needed to detect Shadow AI usage and maintain trust in an increasingly volatile digital world.

Understanding the Data Lifecycle

  • Creation: Data is generated or modified
  • Storage: Data stored in databases or cloud
  • Use: Data accessed or processed
  • Sharing: Data transmitted externally
  • Archival: Long-term retention
  • Destruction: Secure disposal

DLP Framework Components

A mature Data Loss Prevention (DLP) framework is far more than just a software installation; it is a holistic lifecycle that begins with data discovery, where automated tools scan the entire ecosystem—from on-premise servers to cloud environments—to identify where sensitive information resides. Once located, data classification applies persistent metadata tags to these files based on their sensitivity, such as PII, PHI, or intellectual property, ensuring the system understands the value of what it is protecting. Following this, policy enforcement acts as the frontline defense, utilizing granular rules to block, encrypt, or alert when data movements violate security protocols. To ensure long-term efficacy, continuous monitoring provides real-time visibility into data egress points and user behavior, allowing the organization to detect anomalies before they result in a breach. When a violation does occur, a streamlined incident response workflow ensures that security teams can quickly contain the threat and investigate the root cause. Finally, the cycle is completed through rigorous audit reporting, which generates the necessary documentation to demonstrate regulatory compliance to stakeholders and governing bodies. This integrated approach transforms DLP from a reactive tool into a proactive pillar of an organization's overall cybersecurity posture and data governance strategy.

ISO 27001:2022 Alignment (Advisory CTA)

DLP Knowledge Quiz (10 Questions)

1. What is the primary goal of DLP?

2. Data being transferred via email is known as?

3. Which ISO 27001 clause focuses on risk treatment?

4. Which DLP technique tracks unique data patterns?

5. Endpoint DLP mainly protects against?

6. Which Annex A domain covers information protection?

7. False positives occur due to?

8. Cloud DLP primarily protects?

9. Secure deletion belongs to which lifecycle phase?

10. Continuous monitoring maps to which ISO clause?

Frequently Asked Questions

What is DLP in cybersecurity?
DLP prevents unauthorized data leakage across systems.
Is DLP mandatory for ISO 27001?
Not explicitly, but Annex A controls strongly support DLP.
Does DLP work in cloud?
Yes, via API-based cloud DLP integrations.
What data does DLP protect?
PII, IP, financial, and regulated data.
Can DLP stop insider threats?
Yes, especially endpoint-based DLP.
Is AI used in DLP?
Yes, for classification and anomaly detection.
What is data in use?
Data actively accessed or processed.
How does DLP reduce compliance risk?
By enforcing policies and generating audit evidence.
Can DLP impact performance?
If misconfigured, yes — tuning is essential.
Is DLP a one-time setup?
No, it requires continuous improvement.

The AI Vanguard: How Generation Z Is Redefining GRC & Cybersecurity in 2025

Generation Z
The AI Vanguard: How Generation Z Is Redefining GRC & Cybersecurity in 2025

The AI Vanguard: How Generation Z Is Redefining GRC & Cybersecurity in 2025

In 2025, businesses operate in a digital-first, AI-enabled reality. Governance, Risk, and Compliance (GRC) and cybersecurity now sit at the core of organizational resilience, trust, and strategy.

Generation Z, immersed in connected ecosystems, doesn’t just use AI—they think with it, shaping predictive risk management, ethical governance, and next-gen cybersecurity strategies.

1. The Digital-Native Edge: Intuition Meets Technology

Gen Z views AI as a collaborative co-pilot.

Algorithmic Intuition

  • Detecting AI hallucinations in compliance reports
  • Spotting gaps in risk dashboards
  • Validating audit outputs

Bridging IT and Business

  • Translating technical vulnerabilities into clear business impact
  • Connecting SOC, compliance, and executive teams
  • Turning complex metrics into digestible narratives

Trending Integration: Real-time searches like PNR status, earthquake, and tremors felt are leveraged in predictive risk models.

2. From Reactive GRC to Predictive Governance

Automating the Mundane

  • Evidence collection and audit prep handled by AI
  • Control mapping and policy tracking automated
  • Human expertise focused on judgment and strategy

Predictive Risk Modeling

  • AI ingests regulatory updates, threat intelligence, supply chain data
  • Identifies risk hotspots before escalation
  • Monitors environmental, geopolitical, operational signals

Trending Integration: Searches like Assam, Volcano Discovery, and Indian Railways GNWL provide actionable insights.

3. Cybersecurity Reinvented: Speed, Context, Agility

AI-Augmented Threat Hunting

  • Detects subtle “living-off-the-land” attacks
  • Analyzes millions of logs in seconds
  • Behavioral analytics combined with zero-trust security

Prompt Engineering for Security

  • Scenario simulation & red-team testing
  • Secure code generation using AI
  • Accelerated ethical hacking & vulnerability assessment

Trending Integration: Cultural searches like Christmas events and December Dazzling offer help monitor potential threats.

4. Ethics as the Core: Human-in-the-Loop Governance

Fighting Algorithmic Bias

  • Auditing AI for fairness in hiring, credit, surveillance
  • Ensuring transparency & accountability

Sustainability & ESG

  • AI tracks carbon footprints & supplier compliance
  • Embedding ESG criteria in continuous risk monitoring

Trending Integration: Regional content like lokmat provides cultural context for AI governance.

Key Shifts at a Glance

AreaTraditional ApproachGen Z + AI Approach
ComplianceAnnual auditsContinuous, AI-driven monitoring
RiskReactive analysisPredictive intelligence
SecurityFirewall-based perimeterZero-trust, AI-anomaly detection
EthicsPolicy-drivenValue-driven, transparent governance

The Future: Human-Led, AI-Enabled Governance

Gen Z refines the human-in-the-loop model: AI handles scale and speed, humans provide ethics, context, and judgment, building resilient digital ecosystems.

Download Full Report Book Consultation Start Training

Interactive Quiz: Test Your AI & GRC Knowledge

1. Gen Z uses AI mainly to:

2. Predictive risk modeling involves:

3. Zero-trust security means:

4. Human-in-the-loop governance is:

5. AI helps Gen Z in GRC by:

6. Trending searches like "earthquake" help in:

7. Algorithmic bias auditing ensures:

8. ESG tracking via AI involves:

9. Prompt engineering in security helps:

10. The main advantage of Gen Z in cybersecurity is:

FAQs: Gen Z, AI & GRC

1. What is Human-in-the-Loop governance?
It’s a model where AI provides insights, but humans make ethical and contextual decisions.
2. How does Gen Z improve predictive risk?
They leverage AI to analyze real-time signals and anticipate risks before they happen.
3. What is AI-augmented threat hunting?
Using AI to scan logs and detect subtle attacks that may bypass traditional security tools.
4. How does ESG tie into AI governance?
AI monitors sustainability, supplier compliance, and ethical practices in real-time.
5. What are the main risks of AI in GRC?
Algorithmic bias, inaccurate predictive models, and over-reliance without human oversight.
6. How do trending searches help GRC professionals?
They provide real-world signals to predict potential risks and business disruptions.
7. What is the role of prompt engineering in cybersecurity?
It allows analysts to simulate attack scenarios, generate secure code, and test defenses efficiently.
8. How does Gen Z bridge IT and business?
By translating complex vulnerabilities into clear business-impact narratives using AI tools.
9. Why is continuous AI-driven monitoring better than annual audits?
It allows proactive risk detection and real-time compliance assurance rather than post-factum checks.
10. What is the key ethical contribution of Gen Z in AI governance?
Ensuring AI-driven decisions are fair, transparent, and aligned with social responsibility and ESG goals.

ISO 42001:2025 – AI Governance, Risk Management & Responsible AI Framework

ISO 42001:2025 – AI Governance, Risk Management & Responsible AI Framework

ISO 42001:2025 – AI Governance & Responsible AI Management System

ISO 42001:2025 is the world’s first international standard dedicated to Artificial Intelligence Management Systems (AIMS). It provides organizations with a structured framework to design, implement, monitor, and continually improve AI governance practices. As AI adoption accelerates across industries, ISO 42001 ensures that AI systems remain secure, ethical, transparent, and aligned with business objectives.

Organizations using AI tools such as ChatGPT, machine learning models, predictive analytics, and automation platforms can leverage ISO 42001 to establish trust, manage risks, and meet emerging regulatory requirements. Much like ISO/IEC 27001 governs information security, ISO 42001 governs AI lifecycle risks.

Why ISO 42001 Matters in 2025

In the digital era, AI adoption is rapidly expanding across sectors including finance, healthcare, e-commerce, telecom, and sports analytics. Indian Premier League (IPL) franchises use AI for player performance analytics, fintech startups rely on AI-driven fraud detection, and global technology giants like Amazon and Google deploy advanced AI models at scale.

However, ungoverned AI introduces serious risks such as algorithmic bias, data privacy breaches, lack of explainability, and regulatory non-compliance. ISO 42001 enables organizations to systematically identify, assess, and mitigate these AI-specific risks while improving operational efficiency and stakeholder confidence.

SEO Keywords naturally covered: ISO 42001:2025, AI governance framework, responsible AI, AI risk management, AI compliance standard, ethical AI management.

Top Management Responsibility & AI Governance

ISO 42001 requires strong top-management involvement to ensure AI initiatives align with organizational strategy and ethical principles. Leadership accountability is a core requirement of the standard, ensuring AI systems are not developed or deployed in isolation from business goals.

Senior leadership must define AI policies, assign clear roles and responsibilities, and establish AI governance committees. These committees oversee risk assessments, ethical reviews, and compliance monitoring throughout the AI lifecycle.

Organizations using AI for marketing, analytics, customer profiling, or automation must integrate ethical review boards and maintain audit trails for accountability. This ensures AI tools such as ChatGPT, recommendation engines, or decision-support algorithms operate responsibly and transparently.

This governance approach naturally complements information security best practices outlined in ISO/IEC 27001 practical implementation , strengthening overall enterprise risk management.

Key Components of ISO 42001 Framework

  • AI risk assessment and treatment
  • Data governance and quality controls
  • Bias detection and mitigation
  • Human oversight and explainability
  • Incident response and AI lifecycle monitoring

ISO 42001 Quiz – Test Your Knowledge

1. ISO 42001 primarily focuses on?

AI Management Systems
Information Security
IT Service Management

2. Who is accountable for AI governance?

Top Management
Developers only

3. ISO 42001 emphasizes?

Ethical & Responsible AI
Only performance

4. AI risk assessment covers?

Bias, privacy & compliance
Only accuracy

5. Audit trails are needed for?

Accountability
Marketing

6. Human oversight means?

Human-in-the-loop controls
No monitoring

7. ISO 42001 aligns with?

Risk-based approach
Ad-hoc decisions

8. AI lifecycle includes?

Design to decommission
Only development

9. Bias mitigation ensures?

Fair outcomes
Faster AI

10. ISO 42001 builds?

Trust & transparency
Hidden AI

ISO 42001 – Frequently Asked Questions

What is ISO 42001?
ISO 42001 is an international standard for AI Management Systems focusing on ethical and responsible AI.
Is ISO 42001 mandatory?
No, but it helps meet regulatory and compliance expectations.
Who should implement ISO 42001?
Any organization developing or using AI systems.
Does ISO 42001 replace ISO 27001?
No, it complements ISO 27001 for AI-specific risks.
Is ISO 42001 certifiable?
Yes, organizations can seek certification.
Does it cover AI ethics?
Yes, ethical AI is a core requirement.
Does it apply to ChatGPT usage?
Yes, if used for business decision-making.
Is documentation required?
Yes, policies, risk registers, and audit trails.
Who owns AI risks?
Top management and governance committees.
What is the main benefit?
Trust, compliance, and controlled AI adoption.
Exam Tip: Remember – ISO 42001 = AI Governance + Risk + Ethics + Lifecycle Management.

ISO/IEC 27001 Certification: A Practical Risk-Driven Guide (2025)

ISO/IEC 27001 Certification: A Practical Risk-Driven Guide (2025)

ISO/IEC 27001 Certification: A Practical, Risk-Driven Guide for 2025

ISO/IEC 27001 is the world’s most widely recognized information security standard, designed to help organizations protect sensitive information using a structured and auditable Information Security Management System (ISMS). In 2025, cyber threats, regulatory pressure, and third-party dependencies have made informal security practices obsolete. ISO 27001 addresses this gap by embedding information security into governance, leadership accountability, and risk-based decision-making.

👉 Start by identifying whether your current security practices are reactive or risk-driven.

Why ISO 27001 Matters in Today’s Threat Landscape

Modern organizations operate across cloud platforms, remote workforces, SaaS ecosystems, and global supply chains. This complexity increases exposure to data breaches, ransomware, compliance violations, and reputational damage. ISO 27001 matters because it does not rely on individual tools or ad-hoc controls. Instead, it establishes a system that ensures security decisions are consistent, justified, and aligned with business objectives.

👉 Ask yourself: can your organization explain why each security control exists?

Understanding the ISMS Concept

An Information Security Management System is not a document set or a one-time project. It is a living management framework that governs how information security risks are identified, treated, monitored, and improved. ISO 27001 ensures that information security becomes part of organizational culture rather than a technical afterthought.

A well-designed ISMS clearly defines scope, ownership, policies, risk methodology, and performance metrics. This enables repeatable and defensible security decisions during audits and real-world incidents.

👉 Define ISMS scope carefully before selecting controls or tools.

ISO 27001 Clauses 4–10 Explained Simply

Clauses 4 to 10 form the management backbone of ISO 27001. They ensure that information security is led from the top, supported with resources, and continuously evaluated.

Clause 4 focuses on understanding organizational context and stakeholder expectations. Clause 5 requires leadership commitment. Clause 6 introduces risk assessment and measurable objectives. Clause 7 ensures competence and awareness. Clause 8 governs operational control. Clause 9 evaluates performance through audits and reviews. Clause 10 drives continual improvement.

👉 Map your existing processes against ISO 27001 clauses before implementation.

Risk Assessment: The Heart of ISO 27001

Risk assessment is the foundation of ISO 27001. Controls are selected based on risk justification, not because a checklist demands them. A strong risk assessment identifies information assets, threats, vulnerabilities, likelihood, and business impact.

Auditors expect risk decisions to be documented, repeatable, and aligned with organizational priorities. Poor risk assessments lead to weak control selection and audit nonconformities.

👉 Review whether your risk methodology can withstand audit scrutiny.

Annex A Controls and the Statement of Applicability

Annex A provides a reference set of information security controls supporting risk treatment. These controls cover areas such as access control, cryptography, supplier security, incident management, and secure development. Importantly, Annex A is not mandatory by default.

Organizations must justify which controls are applicable through the Statement of Applicability (SoA). This document becomes a key audit artifact demonstrating risk-based decision-making.

👉 Validate your SoA against real operational risks, not assumptions.

Continual Improvement and the PDCA Cycle

ISO 27001 follows the Plan-Do-Check-Act (PDCA) model. Organizations plan by assessing risks, do by implementing controls, check by auditing performance, and act by correcting weaknesses. This ensures the ISMS evolves with changing threats and business needs.

👉 Ensure audit findings actually result in measurable improvements.

Certification vs Real Security Maturity

Many organizations pursue ISO 27001 certification as an end goal. In reality, certification is only a milestone. True value lies in improved decision-making, reduced incident impact, and increased stakeholder confidence.

👉 Shift focus from “passing audits” to “managing risk effectively”.

Who Should Implement ISO 27001?

ISO 27001 is applicable to organizations of all sizes across industries including IT, finance, healthcare, SaaS, and government contracting. Scope flexibility allows organizations to certify only critical business units if needed.

👉 Evaluate whether partial-scope certification suits your business model.

ISO 27001 and Integrated Compliance

ISO 27001 integrates well with other frameworks such as ISO 27701, ISO 22301, ISO 42001, SOC 2, and NIST. This reduces duplication and improves governance efficiency.

👉 Plan integration early to avoid parallel compliance efforts.

Knowledge Check: ISO 27001 Quiz

Q1. What is the primary objective of ISO 27001?
Q2. Which clause focuses on leadership commitment?
Q3. What drives control selection in ISO 27001?
Q4. What document justifies selected Annex A controls?
Q5. What does PDCA stand for?
Q6. ISO 27001 is applicable to which organizations?
Q7. Which clause covers internal audits?
Q8. Annex A controls are:
Q9. What is the real value of ISO 27001?
Q10. ISO 27001 supports which approach?

Frequently Asked Questions (FAQ)

Is ISO 27001 mandatory?

No, but it is often required contractually.

How long does certification take?

Typically 3–6 months depending on scope.

Does ISO 27001 guarantee no breaches?

No, it reduces risk and improves response.

Is Annex A mandatory?

Only applicable controls are required.

Can small companies implement ISO 27001?

Yes, scope flexibility supports SMEs.

How often are audits conducted?

Annually after certification.

What is the role of top management?

Leadership ownership and accountability.

Can ISO 27001 integrate with privacy laws?

Yes, especially with ISO 27701.

Is ISO 27001 tool-dependent?

No, it is governance-driven.

What is the biggest mistake organizations make?

Treating it as a checkbox exercise.

© TheControlCheck — Practical Security & GRC Insights

Privacy Framework — A Modern, Data-Centric Approach for 2025

Privacy Framework — A Modern, Data-Centric Approach for 2025
PF

Privacy Framework — A Modern, Data-Centric Approach for 2025

Data-centric privacy readiness, ISMS alignment, regulatory coverage, consent, DPIA/PIA, incident response — with real-world governance lessons.

Introduction

In 2025, privacy is no longer just a compliance obligation—it has become a strategic differentiator, a board-level priority, and a resilience factor that impacts trust, brand value, and long-term sustainability. With expanding digital ecosystems, multi-jurisdictional regulations, AI-powered decision systems, and unprecedented levels of data movement across borders, enterprises today face a privacy landscape that is more complex and fast-shifting than ever before.

Action:

Start a privacy inventory project this quarter — list your top 3 data sources and assign owners for each.

A Privacy Framework offers structured guidance, governance, methodologies, and operational mechanisms to ensure that personal information is collected, used, stored, processed, and shared in ways that are lawful, ethical, secure, and aligned with customer expectations. In recent years, global events—including the major flight disruption at IndiGo in December 2025—have demonstrated how operational failures, weak governance, unclear communication, and gaps in risk planning can severely impact trust. Even though the IndiGo incident was not a data breach, it highlighted how misalignment between regulation, internal capability, and operational readiness can trigger nationwide chaos. A strong privacy and governance framework would mitigate similar chaos in environments where personal data is involved.

Action:

Map one major operational process to privacy impact — e.g., customer refunds, cancellations — and identify data points used.

Why Organizations Need a Privacy Framework in 2025

Digital transformation, cloud technologies, AI-driven analytics, mobile adoption, and outsourcing have created a massive influx of structured and unstructured personal data. Business expansion across countries brings multi-jurisdictional privacy obligations. Meanwhile, customers are increasingly conscious about how their data is used, monitored, shared, monetized, or profiled. Market perception is now directly tied to privacy posture.

Action:

Run a rapid stakeholder survey (customers, partners) to capture top 3 privacy concerns within 30 days.

A Privacy Framework helps organizations operationalize data protection principles, embed privacy in business processes, implement technical and organizational safeguards, and ensure accountability through structured roles, auditability, and governance. It ensures that privacy is not a one-time project but a living, evolving capability.

Action:

Document a privacy governance RACI: who is Responsible, Accountable, Consulted, and Informed for your top 5 data flows.

Key Service Areas

Below table converts the main service activities into a quick-reference tabular layout.

Action:

Choose one service area to pilot with a small cross-functional team for 60 days.

Service Area Key Activities Regulations Coverage Product Partners
Privacy Readiness
  • Privacy-by-Design
  • Privacy Maturity Assessment
  • Procedure Blueprinting
  • PIA / DPIA
  • Breach Response & Management
GDPR, CCPA, LGPD, PDPA, PIPEDA, APP OneTrust BigID
PI Modelling & Mapping
  • Data Inventory
  • Data Flow Mapping
  • Data Modelling & Relationship
GDPR, Sectoral Laws BigID
Data Subject Rights
  • DSAR Portal
  • Identity Validation
  • Individual Request Fulfilment
  • Records & Reporting
GDPR, CCPA, PDPA, PIPEDA OneTrust
Consent & Cookie
  • Consent Categorisation
  • Consent Tracking & Revocation
  • Cookie Assessment & Scanning
GDPR, CCPA, ePrivacy (where applicable) CookieScan
Platform Solutions
  • Platform Architecture & Blueprinting
  • Implementation & Integration
  • Monitoring Dashboards
  • AI Regulatory Analysis
Depends on deployment region OneTrust Custom

Data-Centric View & Risk Landscape

Modern privacy management begins by understanding the data journey—collection, transformation, usage, storage, and archiving. This requires knowing data sources, processing activities, recipients, retention, and deletion flows.

Action:

Create a simple data-flow diagram for a single customer-facing process and keep it under 3 layers.

Typical data sources include CRM, customer services, retail systems, partner ecosystems, employee systems, and outsourcing providers. Each source adds complexity, and each requires controls mapped to legal and business obligations.

Action:

List top 5 external data partners and capture the legal basis or contract clause for data sharing with each.

Threats

Key ThreatsImpact
External & Internal AttacksData breach, reputational loss
Identity theftLegal, financial liabilities
RansomwareOperational paralysis

Drivers

DriverKey Factor
Regulatory ComplexityMulti-jurisdictional obligations
Market DemandPrivacy as competitive advantage
TechnologyAI, Cloud, IoT

SVG Infographic — Data-Centric Privacy

Data Sources Controls & Safeguards Governance Process • Policy • People Consumers Partners
Action:

Export this infographic as a PNG for stakeholder review and include it in your privacy charter deck.

Governance, Compliance & Case Study

A Privacy Framework must ensure governance, roles, monitoring, and auditability. It should include documented policies, periodic reviews, vendor oversight, and operational playbooks. Regulatory compliance alone is insufficient without implementation and continuous improvement.

Action:

Create a policy review calendar for the next 12 months and assign owners.

Real-world disruptions, like the IndiGo outage in December 2025, teach that failure modes are broader than cyberattacks. Operational or regulatory changes, poor communication, and lack of contingency planning can rapidly erode trust. The privacy parallel: a poorly handled data incident—slow notifications, confusing remediation, or no clear ownership—can cause similar reputational damage and regulatory exposure.

Action:

Draft a short incident communication template: what to say, whom to notify, and timelines for initial acknowledgement.

Issues & Challenges

Enterprises face practical hurdles that slow down privacy adoption. The table below summarises the most common challenges and suggested mitigation approaches.

Action:

Pick one challenge from the table and identify a low-cost pilot to address it within 45 days.

IssueWhy it mattersMitigation
Low awarenessEmployees and customers unaware of rights/risksTargeted training; short micro-modules
Growth vs PrivacyRevenue goals may override privacy controlsPrivacy risk scoring in product roadmap
Forced consentLegal & reputational riskDesign clear, granular consent flows
Data complexityHigh volumes, multiple formatsAutomated discovery & classification
Budget constraintsLimits tool adoption & peoplePhased tooling; focus on high-risk areas

The Way Forward

Adopt a data-centric and risk-based privacy strategy that combines strong governance, automated privacy operations, AI-enhanced compliance management, integrated incident response, transparent customer communication, comprehensive vendor oversight, scalable platform adoption, and continuous education.

Action:

Build a 90-day roadmap with milestones for governance, inventory, DSAR readiness, and one pilot automation.

The Privacy Framework must evolve with technology, regulation, and threats. It should be continuously measured, reviewed, and improved, and must be considered a strategic asset that enables business trust and sustainable growth.

Action:

Set up a monthly privacy KPI dashboard — include metrics like DSAR turnaround, PIA completion rate, and third-party control score.

Frequently Asked Questions (20)

Quick answers and guidance for executive and operational teams. The grid uses a 10x2 layout for clarity.

Action:

Select 5 FAQs relevant to your org and prepare short internal answers for stakeholder review.

1. What is a Privacy Framework?

A structured set of policies, processes, and controls to protect personal information across its lifecycle.

2. How does Privacy differ from Security?

Privacy focuses on lawful & ethical use of personal data; security provides the technical and operational safeguards.

3. What is PIA / DPIA?

Privacy Impact Assessment (PIA) or Data Protection Impact Assessment (DPIA) identifies privacy risks for projects/processes.

4. Which laws should global companies watch?

GDPR, CCPA, LGPD, PDPA, PIPEDA, APP and sectoral laws like HIPAA or GLBA.

5. What is Privacy-by-Design?

Embedding privacy into systems and processes from inception rather than as an afterthought.

6. How to handle DSARs efficiently?

Use portals, automation, identity validation, and standardized fulfilment workflows.

7. When is consent required?

Consent is required when processing lacks another valid legal basis or where explicit opt-in is mandated by law.

8. How often to review privacy policies?

At least annually, and whenever there is a significant product, legal, or operational change.

9. What role does AI play in privacy?

AI amplifies data processing risks and requires additional governance, explainability, and model monitoring.

10. How to prioritise privacy risks?

Use impact-likelihood scoring and focus on high-impact, high-likelihood scenarios first.

11. Is compliance enough?

No — compliance is a baseline. Operational readiness and culture are required for real protection.

12. How to manage third-party risk?

Contractual clauses, regular audits, data flow mapping, and continuous monitoring are essential.

13. What metrics track privacy health?

DSAR turnaround, PIA completion rate, incidents resolved, third-party control score, and training completion.

14. How to respond to a breach?

Follow your incident response plan: contain, assess, notify regulators & data subjects as required, remediate, and learn.

15. What is Data Minimization?

Collect only what is necessary and retain it no longer than required for the purpose.

16. How to handle cross-border transfers?

Use approved transfer mechanisms, SCCs, or ensure adequacy decisions where applicable.

17. Which tools help scale privacy?

OneTrust, BigID, Consent Management Platforms, DLP, and specialized DSAR tools.

18. How to integrate privacy in product dev?

Use privacy checklists, threat modelling, and mandatory PIAs for high-risk features.

19. How to train employees on privacy?

Micro-learning, role-based training, simulated DSAR exercises, and phishing/incident drills.

20. What is the ROI of privacy?

Reduced incident cost, improved customer trust, brand differentiation, and regulatory fines avoidance.

Built for: Privacy Framework review • Last updated: Dec 2025 • Designed by Hermit Crab

Keeping Security & GRC at the Forefront: Practical Guide

Keeping Security & GRC at the Forefront: Practical Guide

Keeping Security & GRC at the Forefront: Practical Guide

In today’s dynamic threat landscape — where cloud adoption, remote work, AI-driven attacks and stringent regulations are the norm — organisations must embed Security and GRC (Governance-Risk-Compliance) into every layer of business operations. This guide offers a comprehensive yet practical roadmap to help you design, deploy and sustain a resilient security posture combining rigorous governance, risk-based controls, and audit readiness.

Governance Risk Management Compliance Security Controls Monitoring & IR Culture & Awareness Integrated GRC + Security Framework

1. Governance as the Foundation

Governance defines the strategic framework for security and compliance — ensuring that every initiative aligns with business objectives, regulatory commitments, and corporate policy. It sets the tone from leadership downward, determining how risk is accepted, mitigated, or transferred, what standards apply, and who owns what. Without robust governance, even the best security tools and audit processes remain fragmented and ineffective.

A well-structured governance model codifies responsibilities for risk owners, compliance owners, control owners, and audit managers. This clarity ensures accountability, standardizes decision-making, and enables measurable control performance across the organization.

2. Risk Management — Proactive & Dynamic

Risk management helps organisations anticipate and prioritize threats rather than react to incidents after they happen. Modern risk management frameworks consider evolving factors — cloud adoption, supply-chain dependencies, third-party vendors, and the rapid rise of AI-powered threats — to evaluate what could go wrong, how likely it is, and how severe the impact would be.

Risk Management Life Cycle

StageDescription
Risk IdentificationSpot possible threats: cyber attacks, data leaks, vendor failures, regulatory fines.
Risk AnalysisAssess likelihood + impact (qualitative or quantitative).
Risk EvaluationCompare risks against organisational tolerance or risk appetite.
Risk TreatmentMitigate, transfer, accept, or avoid the risk via controls or process changes.
Continuous MonitoringTrack Key Risk Indicators (KRIs), re-evaluate after major changes (cloud, AI, vendor changes).

Embedding risk management into everyday operations — from project planning to technology adoption — helps organisations stay resilient. As new threats emerge (like AI-driven ransomware or supply-chain risks), a living risk register becomes the strategic asset.

3. Compliance That Builds Trust & Enables Growth

Compliance used to be viewed as a checkbox for audits, but in modern businesses it’s a competitive differentiator. Achieving and maintaining standards such as ISO 27001, GDPR/DPDP, PCI-DSS or SOC 2 enhances customer trust and unlocks new markets — especially when dealing with global clients.

A compliance program acts as a documented guarantee: employees follow defined processes, controls are regularly tested, and evidence is available for internal and external audits. This ensures organisations stay audit-ready, avoid penalties, and maintain credibility with partners and regulators.

Core Benefits of a Strong Compliance Program

BenefitWhy It Matters
Customer & Partner TrustClients share sensitive data only if compliance standards are demonstrable.
Operational DisciplineStandardized controls reduce human error and enforce consistent practices.
Regulatory ReadinessHelps adapt quickly to changing laws and cross-border regulations.
Market AdvantageCertifications strengthen proposals during tenders and vendor evaluations.

4. Security Controls — The Active Defense Layer

Security controls are the real-world mechanisms that protect data, infrastructure, and users — from on-prem servers to cloud workloads and remote endpoints. They form the active defense layer that complements risk assessments and compliance policies.

Categories of Security Controls

TypeDescriptionExamples
PreventiveStop threats before they happen.Firewalls, MFA, patch management, least privilege access
DetectiveDetect suspicious or malicious events in real-time.SIEM, IDS/IPS, log monitoring, anomaly detection
Corrective / RecoverRespond and recover from incidents or control failures.Backups, disaster recovery, incident response plans

In 2025 and beyond, many organizations are integrating **AI-driven security tools**, behavioral analytics, and automated detection — combining human oversight with machine speed to defend against advanced threats. :contentReference[oaicite:0]{index=0}

5. Continuous Monitoring & Incident Response — Always On

Threats evolve rapidly. Cloud misconfigurations, AI-powered malware, supply-chain compromises – these don’t wait for quarterly audits. Continuous monitoring ensures that you have real-time visibility into system health, deviations, or suspicious activities, enabling quick response and mitigation.

A well-defined Incident Response Plan (IRP) ensures clear roles, escalation paths, communication protocols and recovery procedures. Post-incident reviews feed back into risk management, compliance updates, and controls refinement — creating a feedback loop that improves cyber resilience over time.

6. People, Culture & Awareness — The Human Firewall

Even the most advanced tools and controls fail if users are unaware, untrained, or complacent. A strong security culture transforms security from a top-down mandate into a shared team responsibility.

Awareness programs, phishing simulations, regular training, and embedding security in everyday workflows makes compliance and risk-based controls part of the organizational DNA. This reduces human error, insider risks, and strengthens overall resilience.


Conclusion

Building a comprehensive GRC and security program isn’t just about ticking boxes — it’s about embedding resilience into your organization’s DNA. By combining strong governance, dynamic risk management, compliance, security controls, continuous monitoring, and a security-first culture, you build robust cyber resilience. In a world where cloud, remote operations, AI-driven threats, and evolving regulations define the landscape, this integrated approach becomes the backbone of sustainable business growth.

Start today: map your critical assets, classify risk levels, assign control owners, and define basic security & compliance processes. Even small steps taken consistently are better than large efforts done occasionally.

Frequently Asked Questions – Security & GRC
1. What does “Keeping Security & GRC at the forefront” actually mean? It means designing every business process with security and governance controls embedded from Day 1 to reduce risks, improve compliance, and strengthen decision-making.
2. Why is GRC important for modern organizations? GRC ensures consistent governance, reduces compliance violations, aligns risk with business goals, and protects the brand reputation.
3. What is the role of continuous monitoring in GRC? It provides real-time visibility into threats, control failures, policy deviations, and compliance gaps for faster decisions.
4. How does automation help in GRC? Automation reduces manual audits, eliminates data entry errors, accelerates risk assessments, and improves control reporting accuracy.
5. What frameworks support strong GRC programs? ISO/IEC 27001, ISO/IEC 42001, NIST CSF, SOC 2, COBIT, and GDPR form the backbone of most corporate governance structures.
6. How does GRC support cyber-resilience? GRC integrates risk management, incident response, disaster recovery and ensures organizations remain operational during cyber events.
7. What is the difference between Governance and Compliance? Governance defines ‘how decisions are made’; compliance ensures those decisions follow internal policies and external laws.
8. Why is risk assessment so important? Risk assessment identifies vulnerabilities, attack surfaces, and business impacts, enabling prioritization of controls and budget.
9. How does AI enhance GRC? AI improves anomaly detection, accelerates audits, automates documentation, and predicts risks using behavioural analytics.
10. What is the significance of internal audits? Internal audits validate control effectiveness, ensure policy adherence, and prepare organizations for external certification audits.
11. Why should security posture be continuously updated? Threats evolve daily, so updating controls, patching systems, and reviewing risks ensures organizations stay protected.
12. What final steps ensure long-term GRC maturity? Regular audits, policy refresh cycles, leadership reporting, business continuity planning, and culture training maintain maturity.

Data Privacy Services Powered by Privacy Ops: Achieving Global Compliance

Data Privacy Services Powered by Privacy Ops: Achieving Global Compliance

Data Privacy Services Powered by Privacy Ops

Achieving Global Compliance Through Automation and AI

Title & Introduction

The modern digital ecosystem demands more than mere compliance; it requires operationalized data privacy. The shift from ad-hoc responses to a systematic **Privacy Operations (Privacy Ops)** framework is essential for organizations dealing with vast amounts of personal information (PI). Privacy Ops integrates people, processes, and technology to manage privacy risks continuously and automatically, transforming the burden of compliance into a strategic asset. With the proliferation of regulations like GDPR, CCPA, and LGPD, manual systems are obsolete, making AI-driven, platform-enabled services the only sustainable path forward.

This article explores a comprehensive Privacy Ops solution, detailing its features, service offerings, and its ability to seamlessly manage global regulatory coverage through automation and integrated data management.

Core Service Features: The Power of Automation

A successful Privacy Ops framework is defined by its ability to reduce human error and scale quickly. The core features leverage technology to automate complex, high-volume tasks, significantly lowering **low people dependency**.

AI-Powered Regulatory Analysis

An **AI powered bot for regulatory obligations analysis** instantly scans changes in global laws. By partnering with **UCF (Unified Compliance Framework) for authority sources**, the platform ensures that compliance requirements are current and accurate, eliminating the manual effort required to track evolving privacy standards.

Unified Data Integration

Handling diverse data environments is crucial. The platform supports **50+ data stores integrated through API**, ensuring a holistic view of all personal information assets. This unified approach facilitates accurate Data Inventory and **Data flow mapping** for comprehensive PI Modelling.

Monitoring & Reporting

The system provides **Automated track and monitor status**, displayed via **Interactive and dynamic dashboards**. These dashboards offer real-time insights into compliance metrics, risk levels, and the status of **Data Subject Rights Management (DSRM)** requests, allowing for proactive intervention.

Beyond these, the offering includes **Customised templates**, website **scan**, full **consent management & reporting**, making the entire compliance lifecycle platform enabled and highly streamlined.

Holistic Service Offerings and Global Coverage

The service architecture addresses the entire privacy spectrum, from proactive readiness to reactive breach management, covering major global laws.

1. Privacy Readiness & Impact Assessment

This is the proactive phase. Services include establishing a culture of **Privacy by Design**, performing **Privacy Maturity Assessment & Procedure blueprinting**. Crucially, it manages **Data Protection Impact Assessment (DPIA)** and **Privacy Impact Assessment (PIA)** processes, which are mandatory under regulations like GDPR. Finally, a robust **Breach Response & Management** protocol is established for rapid and compliant incident handling.

2. Data Subject Rights Management (DSRM)

Managing the rights of data subjects (like access, erasure, and portability) is a major operational challenge under regulations like CCPA and GDPR. The solution provides a dedicated **Data Subject Access rights portal for intake**, implements **Data subject identity validation**, ensures **Individual Request Fulfillment**, and maintains necessary **Records & Reporting** for audit purposes.

3. Consent & Cookie Compliance

Modern compliance requires granular control over user consent. This service handles **Consent categorization and status**, along with **Consent tracking and fulfilment**. It includes **Cookies Assessment & Implementation** and continuous **Consent & Website Scanning** to ensure ongoing legal adherence to cookie policies globally.

4. Global Regulatory Coverage

The complexity of compliance is minimized by covering a wide range of mandates, including:

  • EU-General Data Protection Regulation (**GDPR**)
  • California Consumer Privacy Act (**CCPA**), US
  • Lei Geral de Proteção de Dados (**LGPD**), Brazil
  • Australian Privacy Principles (**APP**)
  • Personal Information Protection and Electronic Documents Act (**PIPEDA**), Canada
  • Personal Data Protection Act (**PDPA**), Singapore

This wide coverage, supported by product partners like **OneTrust** and **BigID**, ensures a single, harmonized approach to multiple regulatory challenges.

Visual Diagram: Privacy Ops Flow

The successful implementation of Privacy Ops follows a continuous loop, driven by data ingestion and AI analysis, leading to automated controls and feedback.

Data Ingestion AI Regulatory Analysis & PI Mapping Automated DSRM & Consent Dashboards & Continuous Monitoring

Exam-Oriented Tips

For certification exams in privacy and data protection, focus on the operational aspects and key regulatory instruments:

Mastering Acronyms and Scope

  • **DPIA vs. PIA:** Understand the specific triggers for a Data Protection Impact Assessment (GDPR) and the broader Privacy Impact Assessment (general best practice).
  • **DSRM (Data Subject Rights Management):** Focus on the 7-step process—from intake via portal to final fulfillment and record-keeping.
  • **Key Global Laws:** Memorize the scope and core rights provided by **GDPR, CCPA, and LGPD**, as they are frequently compared in scenario-based questions.
  • **Privacy by Design:** Know the 7 foundational principles, especially the proactive and preventative nature of the approach.

Practice questions involving data flow mapping and determining compliance requirements when data crosses international boundaries (e.g., EU data processed in Singapore).

FAQ (Markdown)

**Q1: What is the primary role of the AI-powered bot?**

A1: The AI bot analyzes regulatory updates and obligations from sources like UCF to ensure real-time compliance tracking.

**Q2: How does the platform handle global regulations?**

A2: It provides harmonized controls covering major laws including GDPR, CCPA, LGPD, PIPEDA, and PDPA, allowing for central management.

**Q3: What are the key steps in Data Subject Rights Management?**

A3: Intake via a dedicated portal, identity validation, fulfillment of the request (e.g., erasure), and maintaining audit records and reporting.

**Q4: What is the purpose of Data Flow Mapping?**

A4: To identify where personal data is collected, stored, processed, and shared (data inventory and relationship) across the 50+ integrated data stores.

**Q5: What is 'Privacy by Design'?**

A5: A proactive approach ensuring privacy and security are built into the system architecture and business processes from the start, not added later.
    

FAQ: Visual Summary

Q1: Primary role of the AI-powered bot? A1: Analyzes regulatory updates from UCF for real-time tracking. Q2: How does the platform handle global regulations? A2: Harmonized controls covering GDPR, CCPA, LGPD, PIPEDA, and PDPA. Q3: Key steps in Data Subject Rights Management? A3: Intake via portal, identity validation, request fulfillment, and audit records. Q4: Purpose of Data Flow Mapping? A4: To identify where PI is collected, stored, processed, and shared (Data Inventory). Q5: What is 'Privacy by Design'? A5: Proactive approach: privacy and security are built into the architecture from the start.

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Audit Management: From Opening Meeting to Closure

Audit Management: From Opening Meeting to Closure

Audit Management: From Opening Meeting to Closure

Introduction to Auditing

Auditing is a systematic and independent examination of processes, systems, or organizations to ensure compliance with established standards. A structured audit helps organizations identify gaps, mitigate risks, and promote continual improvement.

Auditing Principles & Benefits

Ethical Conduct, Fair Presentation, Due Professional Care Verified conformity, increases awareness & understanding Independence & Evidence-Based Approach Reduces risks & identifies improvement opportunities Continuous Improvement Performed regularly ensures system effectiveness

Process Approach in Auditing

Auditors can apply the process approach by ensuring the auditee:

  • Defines objectives, inputs, outputs, activities, and resources for processes
  • Analyses, monitors, measures, and improves processes
  • Understands sequence and interaction of its processes
Individual Process Input/Output, PDCA, Resources Relationship with Other Processes Flow, Interaction, Evidence, Contracts

Managing an Audit Program

Effective audit programs include planning, scheduling, and resource allocation. A well-managed program ensures audits are systematic, consistent, and align with organizational objectives.

Audit Activities

  • Opening Meeting
  • Document Review
  • On-Site Audit / Observation
  • Interviews & Evidence Collection
  • Closing Meeting

Auditor Competence & Responsibilities

Auditors must possess:

  • Knowledge of standards & regulations
  • Analytical and communication skills
  • Objectivity and ethical conduct
  • Ability to report findings accurately

Key Take Aways

Audit management is often perceived merely as a regulatory necessity, but in reality, it is a cornerstone of organizational health and strategic growth. While compliance with standards—whether ISO 27001, ISO 9001, or internal policies—is the baseline, the true value of a robust audit management system lies in its ability to transform raw data into actionable business intelligence. A systematic approach to auditing does not just verify if rules are being followed; it evaluates whether those rules are actually helping the organization achieve its objectives.

The Strategic Value of Audit Management

Audit management is often perceived merely as a regulatory necessity, but in reality, it is a cornerstone of organizational health and strategic growth. While compliance with standards—whether ISO 27001, ISO 9001, or internal policies—is the baseline, the true value of a robust audit management system lies in its ability to transform raw data into actionable business intelligence.

The Lifecycle: From Opening to Closure

The journey from the opening meeting to the closing meeting is where the integrity of the audit is established. This structured lifecycle ensures that there are no surprises and that the audit concludes with a clear roadmap for the future.

Risk Mitigation and Proactive Defense

In today’s volatile digital landscape, waiting for a breach or a failure to occur is not an option. Audit management serves as an organization’s "early warning system." By systematically reviewing controls and processes, auditors identify vulnerabilities and latent risks that might otherwise go unnoticed until they cause significant damage.

Key Insight: Effective audit management shifts an organization’s posture from reactive to proactive. Instead of scrambling to fix issues after a regulatory fine, the audit process highlights weak control environments early.

Driving Continuous Improvement

Perhaps the most critical aspect of audit management is its contribution to Continuous Improvement (CI). An audit that ends with a report filing is a wasted opportunity. By identifying non-conformities and opportunities for improvement (OFIs), audits force organizations to analyze the root causes of their problems, moving away from temporary "band-aid" fixes toward sustainable solutions.

Audit Activities Checklist

  • Opening Meeting: Confirm scope, criteria, and plan.
  • Document Review: Verify documented information against standards.
  • On-Site Audit: Observe processes and interview staff.
  • Evidence Collection: Gather objective evidence (records, logs).
  • Closing Meeting: Present findings and agree on timeline.

FAQ: Visual Summary

Q1: What is Audit Management? A1: Systematic examination from opening meeting to closure ensuring compliance. Q2: What is Process Approach in Auditing? A2: Ensures objectives, inputs, outputs, and interactions are clearly defined. Q3: What are auditor responsibilities? A3: Knowledge, ethics, analytical skills, and accurate reporting of findings. Q4: What activities are included? A4: Opening meeting, document review, observation, interviews, closing meeting.

© 2025 TheControlCheck. All rights reserved.

Overview of ISO/IEC 27001:2013 vs 2022

Overview of ISO/IEC 27001:2013 vs 2022

Overview of ISO/IEC 27001:2013 vs 2022

Introduction

ISO/IEC 27001 is the global standard for Information Security Management Systems (ISMS). The 2022 revision introduces updates aligning with evolving cybersecurity threats, risk management practices, and digital transformation requirements. Understanding the differences between the 2013 and 2022 versions is critical for professionals preparing for audits or certification exams.

Overview of ISO/IEC 27001:2013 vs 2022

The 2013 version focused on 14 control domains and 114 controls under Annex A. The 2022 version streamlined these into 4 categories with 93 updated controls, emphasizing a risk-based approach, organizational context, and alignment with modern technology practices.

  • 2013: 14 control domains, 114 controls
  • 2022: 4 control categories, 93 controls
  • New focus on cloud security, privacy, and remote work risk management
  • Integration with other management systems (ISO 22301, ISO 9001)

Core Clauses and Annex Controls

Both versions follow a high-level structure (Annex SL), but the 2022 update introduces:

  1. Context of the organization
  2. Leadership & commitment
  3. Planning and risk assessment
  4. Support & awareness
  5. Operation and performance evaluation
  6. Improvement

Annex controls are now grouped under 4 categories:

  • Organizational
  • People
  • Physical
  • Technological

ISMS Process: Step-by-Step

Implementing an ISMS involves several systematic steps:

  1. Define the scope of ISMS
  2. Establish an information security policy
  3. Perform risk assessment & treatment planning
  4. Implement controls
  5. Monitor, measure, and evaluate effectiveness
  6. Conduct internal audits and management review
  7. Continual improvement based on findings

Awareness & Training

Awareness programs and training sessions are essential to:

  • Ensure all employees understand security policies
  • Align roles & responsibilities
  • Promote a security-first culture
  • Prepare for internal & external audits

Exam-Oriented Tips

Key points for ISO/IEC 27001 exams:

  • Focus on differences between 2013 vs 2022
  • Memorize the 4 main control categories and 93 controls (2022)
  • Understand ISMS PDCA cycle steps
  • Prepare for scenario-based questions on risk treatment and audit findings
  • Be familiar with Annex SL high-level structure

Visual Diagram: ISMS Process Overview

ISMS Scope & Policy Risk Assessment & Treatment Implement Controls Monitor & Improve

FAQ: Visual Overview

Q1: Differences between ISO/IEC 27001:2013 & 2022? A1: 2022 reduces controls to 93 & groups into 4 categories. Q2: How many clauses in both versions? A2: Both follow Annex SL with 10 clauses (context, leadership, planning, etc.) Q3: What is the PDCA cycle? A3: Plan → Do → Check → Act; ensures continuous improvement. Q4: How to prepare for ISO/IEC 27001 exam? A4: Focus on clauses, controls, ISMS process & scenario-based questions. Q5: Are 2013 controls still valid? A5: Mapped to 2022; transition based on risk assessment & updated controls.

© 2025 TheControlCheck. All rights reserved.

What Is GRC, and How AI Governance Is Transforming It in 2026


What Is GRC and How AI Governance Is Transforming It in 2026

The world of Governance, Risk, and Compliance (GRC) is evolving faster than ever. With enterprises adopting AI-powered tools across all departments, organisations are realising that effective AI governance is no longer optional. It is now a core pillar of modern GRC.

This article explains what GRC means today, how AI governance fits inside GRC, the global frameworks shaping AI adoption, the maturity models, the Responsible AI skills companies expect, and why mastering AI governance creates a competitive advantage for professionals entering or growing in GRC.


1. What Is GRC? (Simple Definition)

GRC stands for Governance, Risk, and Compliance. It is a structured approach that ensures an organization:

  • Governance: Makes decisions responsibly and ethically
  • Risk Management: Identifies, assesses, and reduces risks
  • Compliance: Meets laws, standards, and regulatory requirements

In 2026, GRC is no longer just about audits or documentation. It is a strategic capability that helps companies scale, respond to cyber threats, maintain trust, and prevent legal problems.

Traditional GRC Pillars

  • Policies & Governance Models
  • Risk Management Frameworks
  • Compliance Requirements
  • Internal Controls & Testing
  • Audit Management
  • Reporting & Continuous Monitoring

2. Why AI Governance Is Becoming the Heart of GRC

AI systems now influence major business decisions across finance, HR, cybersecurity, fraud detection, privacy, and more. Because AI models can make mistakes, show bias, or act unpredictably, companies need clear processes to govern them.

AI Governance means:

  • Ensuring AI is used ethically and responsibly
  • Managing AI-specific risks (bias, drift, transparency)
  • Protecting privacy and sensitive data
  • Building explainable and trustworthy AI models
  • Implementing continuous monitoring and audits

In simple words: AI Governance adds a new risk category → “AI Risk”.


3. Global AI Governance Standards and Frameworks

AI governance is becoming increasingly standardized. These are the most influential frameworks globally:

1. ISO/IEC 42001:2023 – AI Management System (AIMS)

The world’s first certifiable AI governance standard. It focuses on:

  • AI risk management
  • AI lifecycle controls
  • Transparency and accountability
  • Model and data governance
  • Ethical requirements

2. NIST AI Risk Management Framework

Includes four core functions:

  • Govern
  • Map
  • Measure
  • Manage

3. EU AI Act

The strongest AI regulation, classifying AI into:

  • Unacceptable risk
  • High risk
  • Limited risk
  • Minimal risk

4. OECD AI Principles

Focus on fairness, human-centered design, transparency, and accountability.

5. India’s Emerging AI Governance Approach

India is steadily moving toward Responsible AI policies aligned with global frameworks.


4. AI Governance Adoption Approach

Organizations follow a structured approach when integrating AI governance:

  1. Establish governance structure: AI committees, ethics boards
  2. Identify AI use cases: especially high-risk systems
  3. Perform AI risk assessments: data, model, fairness, privacy
  4. Implement Responsible AI controls: explainability, bias checks
  5. Continuous monitoring: real-time model behavior tracking
  6. Compliance alignment: ISO 42001, NIST, EU AI Act, DPDP

5. Responsible AI Training – A Mandatory Skill

Companies now require employees to complete:

  • Responsible AI training
  • Bias detection & prevention courses
  • AI risk assessment workshops
  • Privacy & data protection training

This makes AI safer, fair, and accountable—and increases the value of GRC professionals.


6. AI Governance Maturity Assessment

Organizations measure their AI readiness through the following levels:

  • Level 1 – Initial: No structure; ad-hoc AI use
  • Level 2 – Repeatable: Basic AI policies
  • Level 3 – Defined: Governance framework established
  • Level 4 – Managed: Formal monitoring and AI audits
  • Level 5 – Optimized: Fully integrated AI governance

Most organizations in 2026 fall between Level 2 and 3.


7. Why AI Governance Matters for Your GRC Career

AI governance is the fastest-growing discipline within GRC. Here’s why:

  • New AI regulations require expert interpreters
  • AI introduces new risk categories
  • AI audits are becoming mandatory
  • There is a huge skill gap in the industry
  • AI governance intersects with all GRC functions

Learning AI governance immediately boosts long-term career value.


8. Key Takeaways

  • AI governance is transforming modern GRC
  • ISO 42001 and NIST are leading global frameworks
  • Responsible AI is now a requirement
  • AI maturity models help organizations evolve
  • Professionals with AI governance knowledge are in high demand

FAQs

## FAQs 

### **Q1. What is the main purpose of AI governance?**
To ensure AI systems are safe, ethical, transparent, and compliant across their lifecycle.

### **Q2. Is AI governance part of GRC?**
Yes. It introduces a new category called “AI Risk” under governance, risk management, compliance, and audit.

### **Q3. Which global AI standard is considered the most important?**
ISO/IEC 42001:2023 is the most robust, globally recognized AI governance standard.

### **Q4. Does AI governance require coding skills?**
No. Not necessary. Most GRC professionals focus on documentation, risks, controls, assessments, and audits.

### **Q5. Why is AI governance important for GRC careers?**
Because regulatory pressure is increasing and organizations need professionals who understand AI risks, compliance, and ethical standards.

### **Q6. Which industries require AI governance experts?**
Banking, telecom, healthcare, e-commerce, manufacturing, consulting, and government sectors.

Governance of Risk and Compliance: Overview



 

Governance of Risk and Compliance


Governance of Risk and Compliance: Overview


In today's complex business landscape, organisations face a myriad of risks that can impact their operations, reputation, and bottom line. Effective governance of risk and compliance is crucial to mitigate these risks and ensure that organizations operate ethically and within the bounds of the law. This article provides a comprehensive overview of the governance of risk and compliance in a thousand words, highlighting its importance, key principles, and best practices.


1. Understanding Risk and Compliance:


Risk refers to the possibility of an event occurring that could have an adverse effect on the achievement of an organization's objectives. These risks can be categorized into various types, including financial, operational, strategic, and reputational. Compliance, on the other hand, involves adhering to laws, regulations, industry standards, and internal policies and procedures.


2. The Importance of Governance:


Governance in the context of risk and compliance refers to the processes, structures, and leadership in place to oversee and manage these aspects of business operations. Effective governance is crucial for several reasons:


a. Legal and Ethical Obligations: Organizations have a legal and ethical responsibility to operate within the boundaries of the law and to conduct business ethically. Failure to do so can result in legal penalties, fines, and damage to reputation.


b. Protecting Stakeholder Interests: Governance ensures that an organization's actions align with the interests of its stakeholders, including shareholders, employees, customers, and the broader community.


c. Risk Mitigation: Governance processes help identify, assess, and mitigate risks, reducing the likelihood and impact of adverse events.


d. Enhancing Decision-Making: Effective governance provides a framework for informed decision-making, considering risks and compliance requirements in strategic planning.


3. Key Principles of Governance of Risk and Compliance:


To establish robust governance of risk and compliance, organizations should adhere to the following key principles:


a. Leadership and Culture: Top leadership must set the tone for risk awareness and compliance. A culture of integrity and accountability should be fostered throughout the organization.


b. Risk Assessment: Regularly assess and prioritize risks to the organization. This involves identifying potential threats, evaluating their impact, and determining the likelihood of occurrence.


c. Policies and Procedures: Develop and implement clear policies and procedures that address compliance requirements and risk management strategies.


d. Training and Awareness: Ensure that employees are educated about compliance requirements and risk management practices. Ongoing training programs are essential.


e. Monitoring and Reporting: Establish mechanisms to monitor compliance with policies and procedures. Implement reporting systems that allow for the timely identification and resolution of compliance issues.


f. Continuous Improvement: Regularly review and update governance processes to adapt to changing risks and compliance requirements. Continuous improvement is key to staying ahead of emerging threats.


4. Best Practices in Governance of Risk and Compliance:


To effectively implement the principles of governance, organizations can adopt best practices:


a. Board Oversight: The board of directors should provide oversight and guidance on risk and compliance matters. Establish risk and compliance committees to focus on these specific areas.


b. Risk Appetite: Define the organization's risk appetite – the level of risk it is willing to accept to achieve its objectives. This helps guide decision-making.


c. Risk Management Framework: Develop a comprehensive risk management framework that includes risk identification, assessment, mitigation, monitoring, and reporting.


d. Compliance Programs: Implement robust compliance programs that incorporate regulatory requirements, industry standards, and internal policies. Regularly audit and assess compliance.


e. Technology and Data Analytics: Leverage technology and data analytics tools to enhance risk assessment and compliance monitoring. These tools can provide real-time insights into potential issues.


f. Whistleblower Mechanism: Establish a confidential whistleblower mechanism that allows employees and stakeholders to report potential compliance violations without fear of retaliation.


g. External Partnerships: Collaborate with industry associations, regulatory bodies, and external experts to stay updated on evolving risks and compliance standards.


h. Crisis Management: Develop a crisis management plan to respond effectively to unexpected events, such as data breaches or regulatory investigations.


5. Case Studies:


Examining real-world examples of governance of risk and compliance can provide valuable insights. For instance, the Enron scandal in the early 2000s highlights the devastating consequences of poor governance, including financial fraud and bankruptcy. In contrast, companies like Johnson & Johnson are often praised for their proactive approach to product recalls, demonstrating a commitment to compliance and consumer safety.


6. Conclusion:


In conclusion, the governance of risk and compliance is an essential aspect of modern business operations. It ensures that organizations adhere to legal and ethical standards, manage risks effectively, and protect stakeholder interests. By following key principles and best practices, organizations can build a robust governance framework that enhances their resilience and sustainability in an ever-changing business environment. Ultimately, governance of risk and compliance is not just a regulatory requirement; it's a fundamental element of responsible and successful business management.


Governance of Risk and Compliance






How Internet affected Education

 How Internet affected Education| Internet and Education

How Internet affected Education


The internet has had a profound impact on education, with the advent of the internet of education (IoE) further expanding this impact. IoE refers to the integration of various technologies, such as the internet, artificial intelligence, and machine learning, to improve education outcomes. Here are some of the impacts of IoE on education:


1. Access to educational resources: IoE has made it easier for students to access educational resources from anywhere and at any time. With online courses, e-books, and virtual learning environments, students can learn at their own pace and convenience.


2. Personalized learning: IoE technologies can be used to personalize learning experiences for individual students. Adaptive learning algorithms can tailor the curriculum to meet the needs of each student, resulting in better learning outcomes.


3. Collaboration: IoE technologies can facilitate collaboration between students, teachers, and peers across the globe. Students can engage in collaborative projects, share knowledge and ideas, and learn from each other.


4. Cost-effective: IoE can make education more affordable, especially for students who live in remote or underserved areas. Online courses and digital resources can be accessed at a fraction of the cost of traditional education.


5. Data-driven insights: IoE technologies can generate valuable data insights that can be used to improve teaching and learning outcomes. By analyzing student data, teachers can identify areas where students are struggling and provide personalized support.


 

The internet has revolutionized education, and online education is one of its most significant applications. Online education refers to learning experiences that are delivered over the internet, using various digital technologies. Here are some of the ways in which the internet is used for online education:

 

1. Online courses: The internet is used to deliver courses online, allowing students to learn at their own pace and from anywhere in the world. Online courses can include text-based lessons, videos, interactive quizzes, and assessments.

 

2. Virtual classrooms: The internet is used to create virtual classrooms where students can interact with teachers and peers in real-time. Virtual classrooms can include live lectures, discussions, and group projects.

 

3. E-books and digital resources: The internet is used to provide students with access to e-books, digital resources, and other educational materials. This makes it easier for students to access learning materials, regardless of their location.

 

4. Online collaboration: The internet is used to facilitate collaboration between students and teachers. Online collaboration tools such as discussion forums, messaging apps, and video conferencing make it easy for students to work together and learn from each other.

 

5. Gamification: The internet is used to gamify the learning experience, making it more engaging and interactive. Gamification uses game mechanics such as points, badges, and leader boards to motivate students and encourage them to learn.

 



How Internet affected Education



While the internet has had a significant impact on education, it also has some drawbacks. Here are some of the drawbacks of using the internet in education:

 

1. Lack of social interaction: One of the primary drawbacks of online education is the lack of social interaction. Students who learn online may miss out on the social aspect of traditional education, including face-to-face interactions with teachers and peers.

 

2. Limited engagement: Online learning can be less engaging than traditional learning. Students may be more likely to get distracted or lose focus while learning online, resulting in lower levels of engagement and retention.

 

3. Dependence on technology: Online education is dependent on technology, and technical difficulties can disrupt the learning process. Poor internet connectivity or software issues can cause frustration for both students and teachers.

 

4. Quality concerns: The internet has made it easier for anyone to create and distribute educational materials, but not all of this material is of high quality. There is a risk that students may be exposed to inaccurate or unreliable information, which could impact their learning outcomes.

 

5. Cheating and plagiarism: The internet has also made it easier for students to cheat and plagiarize. With online resources readily available, students may be tempted to cut corners or take shortcuts in their work.

 

Conclusion-

1. The internet has revolutionized education by providing access to online courses, virtual classrooms, digital resources, online collaboration, and gamification. These tools have made education more accessible, engaging, and effective, opening up new opportunities for learners all over the world.

2. The internet of education has revolutionized education by making it more accessible, affordable, and personalized. It has opened up new opportunities for students to learn, collaborate, and grow, while also enabling educators to provide a more effective and efficient learning experience.

 3. While the internet has many benefits for education, it also has some drawbacks. These drawbacks include a lack of social interaction, limited engagement, dependence on technology, quality concerns, and increased opportunities for cheating and plagiarism. It is important to be aware of these drawbacks and work to mitigate them to ensure that online education remains effective and beneficial for students.



What is cyber insurance


What is cyber insurance

What is cyber insurance?

Cyber ​​insurance is a type of policy that covers loss and damage caused by cyber-attacks or related types of incidents such as infrastructure failure or service outages. Most cyber insurance policies are for businesses, as they face much greater risk and potential loss from a cyber-attack than private individuals.

Cyber insurance is critical for any enterprise, especially those that deal with exclusive or touchy information.

 

With the boom of the internet inside the past 10 years, cyber dangers like social engineering attacks, statistics breaches and cyber extortion (i.e., ransomware) have additionally grown exponentially. Due to this, many coverage companies now offer committed cyber insurance guidelines.

 

Whether or not it’s cyber criminals gaining sensitive facts, a community security failure or a statistics breach, probabilities are your business insurance don't cover your losses. In case you’re concerned for a cyber incident, you’ll need to start searching round for a cyber coverage quote.

 

Cyber insurance covers things like liability attributable to data breaches, community interruption and media legal responsibility. Cyber ​​risk to business is much higher than personal risk.

Cyber insurance pricing varies wildly depending on what you need to include, the dimensions of your deductibles and how large your business is. These elements can change the rate from some hundred dollars per year to lots.

Given the relativity of cyber coverage markets, there’s a terrific degree of variability in both what’s blanketed and policy value. This makes it hard to generalize the entire discipline, but we’ll talk what a cyber insurance coverage normally covers, as well as what you might expect to pay for it.

 

Cyber insurance coverage

Cyber ​​insurance generally provides protection against four distinct types of risk: privacy, security, operational and service risk. These risks represent the biggest cyber threats to business and are typically covered by four different types of insurance policies within a cyber policy mentioned below.



 

Ø Network Security and Privacy Responsibility

Network Security and Privacy covers the most obvious risks and dangers posed by cyber-attacks. On the security front, cyber policies will generally cover forensic efforts to identify the attack path, legal expenses related to the attack, ransomware payments, data recovery, consumer outreach and public relations costs.

 

Conversely, privacy responsibility applies to you if your business maintains confidential or private data that is governed by regulation or contract. For example, if your business has a lot of customer personal records that were stolen in a cyber-attack, privacy liability insurance will cover you if the people whose records were stolen seek compensation.



 

Ø Network business interruption

For many businesses, a server outage can mean a catastrophic amount of lost revenue. For this reason, cyber insurance will cover lost profit for the duration of a network interruption that occurs as a result of a cyber-attack or system failure.



 

Ø Media responsibility

If your intellectual property is stolen as a result of your media presence, be it advertising or something else, then cyber insurance can help with that. The policy generally doesn't cover lost profit as a result, but it does cover things like legal fees associated with enforcing your intellectual property.



 

Ø Errors and omissions

In the event of a cyber-attack or system failure, there is a good chance that your business will be unable to continue providing its services, at least temporarily. If this happens, cyber insurance will generally cover any liability you face from customers.

 

What does cyber insurance not cover?

Now that we've covered what cyber insurance will generally cover, let's take a quick look at what is typically not covered.



 

Ø Future lost profit

The first is any future lost profits that arise as a result of a cyber security incident. Whether it's the result of user exodus due to a significant data breach, data loss, or anything else, cyber insurance generally won't cover lost revenue that isn't a direct and immediate result of a cyber-attack or incident.



 

Ø Losses from theft of intellectual property

Next in line are losses related to intellectual property theft. For example, if someone steals your IP (Intellectual property) and uses it to create a product that competes with yours, those lost profits won't be covered by your insurance.



 

Ø Proactive cyber security measures

Finally, cyber insurance generally does not include coverage for any proactive cybersecurity measures, such as upgrading infrastructure or software or improving security procedures.

 

What does cyber insurance cost?

The cost of cyber insurance will vary greatly depending on the size of your company, the insurance provider you go with, and what you want your policy to cover. Because of this, it's hard to predict exactly how much an individual policy will cost, but we can look at some averages.

 

Cyber ​​insurance for individuals generally costs $25 to $100 per month. However, most private individuals do not need cyber insurance, as regular theft or home owner insurance will often cover the aspects most useful to personal users.

 

Businesses, on the other hand, can expect to pay $500 to $5,000 per year for cyber insurance. As mentioned, there are many factors that determine where you end up in this price range, and the biggest companies are likely to pay much more than this.

 

Should You Get Cyber ​​Insurance?

Unless you're handling some very sensitive data or have a specific reason to believe you're at risk of an attack, you probably don't need cyber insurance as a private individual.

 

If you're concerned about the consequences of potential cyber-attacks or data breaches affecting you, finding a home or theft insurance package that includes some coverage for these types of events may be a better option.

 

However, for many businesses, cyber insurance is an absolute necessity. Cyber ​​security statistics show that attacks and security breaches have been on the rise in recent years, with cyber-attacks routinely targeting businesses large and small.

 

This can take the form of ransomware, where your systems and infrastructure are shut down until you pay the hackers a fee, or a more traditional hack aimed at breaching data security or stealing confidential information.

 

With a 600% increase in cybercrime since the start of the COVID-19 pandemic, it is clear that this has become such a common problem that it should be considered alongside other "analog" threats such as burglaries, fires and the like.

 

More to Read

Take-away-

That's it for our guide to the cyber insurance space.

We hope we have given you a better understanding of what cyber incidents are covered by cyber risk insurance as opposed to traditional insurance policies.

 

Most, if not all, modern businesses should consider finding cyber insurance providers and getting a cyber liability insurance quote. The cyber insurance market is still relatively young and not every insurance company offers cyber insurance.

 

What do you think of our guide to cyber  insurance?

Do you feel like you understand how cyber policies work and what cyber threats are generally covered? Do you have cyber insurance? If so, has it helped protect your business from various cyber exposures? Let us know in the comments  section. 


Thank you for reading.

What is cyber insurance



Seven Tips For Generating Website Traffic With A Limited Marketing Budget| Get Organic traffic from Facebook


Seven Tips For Generating Website Traffic With A Limited Marketing Budget|

Get Organic traffic from Facebook| Adsense traffic from Facebook



Get Organic traffic from Facebook| Adsense traffic from Facebook



Assume the scenario- You’re a marketing manager on digital platform and you’ve been tasked with the responsibility of attracting consumers to your specific brand, but you have very limited budget. You're questioning yourself, "How am I supposed to roll in the big bucks with a small marketing budget?"

. Digital marketing doesn't have to be expensive. Truth be told, if you do enough strategic planning from the very beginning and aim at realistic, targeted outcomes, you can achieve success with a limited budget. Explosive marketing budget to get anywhere online is a myth.

From my perspective, digital marketing shouldn't be expensive. You have to plan the channels and resources you'll allocate to your marketing efforts overall. It’s not a prime factor if it's SEO, pay-per-click advertising or social media marketing, no matter what platform you're looking at tackling, you can execute it with careful strategy and refinement.

You can opt for work with an agency to help you, or you can do this on your own. Do keep in mind, however, that if you're not a marketing expert or are trying to learn the ropes from the very beginning, your budget can quickly be eaten up. Ensure you're weighing all of the options you have on-hand and eliminating those that could potentially use your marketing budgets unnecessarily.

The good news is that even a beginner can take a few simple steps toward harvesting traffic without spending too much money. If plunging into a dedicated, expert-driven campaign isn't right up your alley yet, this is the best place to start.

Here are a few ways you can begin generating website traffic:

1. Use search engines to your advantage.

You might need a bit of SEO insight here to help you, but in a nutshell, you want to get as much traffic as possible from this organic platform. That means optimizing your content and website for keywords and phrases you know your target audience would be searching for. There are a few free tools available that you can quickly find online.

2. Check for broken links.

You'll lose prospects and customers to links on your website that are broken. Review your website and check whether you have any URLs that need fixing. This is a quick way to get traffic back that you were otherwise letting escape.

3. Assess who's talking about you.

 Has anyone been writing or talking about your brand but not linking to your page? Consider reaching out to them and politely asking them to do so. This can help you gain more opportunistic traffic.

4. Update your old content.

This is a big one. If you've put effort into blogging in the past, have a gander through Google Analytics and see what content is performing the best. Update these posts with new stats, facts, quotes and images that will reap new attention. Let your audience know it has been updated as a call to action at the bottom of the article, and even with an "[UPDATED for 2020]" tag in the headline.

5. Use manual outreach as your sidekick.

Going back to authentic relationships and connections to build links and awareness for brands is an another alternative . That means scouring the web for those in your industry who are like-minded and already writing about brands, services and goods like yours. You can offer them an incentive to write about your business and help turn their following into yours. Think of this as digital public relations.

6. Refresh your ranking content.

Use your choice of SEO tool to see what content of yours is ranking on page two of Google. This is the kind of content you want to refresh, optimize and get up to page one. It's low-hanging fruit that will pay dividends in return.

Sometimes, generating website traffic with a limited marketing budget is a lot to handle. There are many aspects to juggle, and you still have to ensure you're keeping on track with branding and maintaining the compliance norms as well. But by setting honest expectations and taking the steps mentioned  above, you'll be on your way to getting your brand out there with limited costs.

7. Facebook 
Facebook is another brilliant platform for reaching your business goals, and it doesn’t matter if you’re a B2B or B2C business. Facebook offers tons of tools and capabilities which you can harness for you to connect with your audiences regardless of the place and time.
Generating traffic from Facebook to your website is a popular strategy for increasing AdSense revenue. Here are some tips for optimizing your AdSense traffic from Facebook:

Create engaging content: Creating engaging and shareable content on your website can increase the likelihood that visitors from Facebook will share your content, thus driving more traffic to your site.


Utilize Facebook Ads: Facebook Ads can be a useful tool for driving traffic to your website. You can create targeted ads that reach your desired audience based on demographics, interests, and behaviors.


Optimize your website for mobile: Many people access Facebook on their mobile devices, so it's important to make sure your website is optimized for mobile devices. This can help improve the user experience and increase the likelihood of visitors staying on your site longer.


Use Facebook Groups: Joining and participating in relevant Facebook groups can help you connect with potential visitors who might be interested in your website's content. Just make sure to follow the group's rules and guidelines.


Track your traffic: Use Google Analytics or other tracking tools to monitor your traffic from Facebook. This can help you identify which types of content or posts are generating the most traffic, allowing you to adjust your strategy accordingly.



Seven Tips For Generating Website Traffic With A Limited Marketing Budget| Get Organic traffic from Facebook

Protect Social Media Account | Protect Your Facebook Account| Protect Your Instagram Account



Protect Social Media Account | Protect Your Facebook Account| Protect Your Instagram Account



Hello Friends. Today we will take lesson on the importance of protecting the social media account from being compromised. A strong social media policy can protect your brand and avoid embarrassing posts. Social media accounts are the latest phishing target.

Social media has made its own place in the world of people. There are some people, whose day is not complete without using it, but always be aware of the fraud and cyber-crime that occur while using social media. So far, people have had to pay the price for not doing so.

It's a good time to update existing policies to cover the increase in remote work and set clear expectations for employees about using social media during work hours.


One fine day you may get email that someone is trying to log into your Instagram account. But the thing is, you don’t have any Instagram account.

This is a very common phishing scam. A phishing scam is when someone tries to impersonate a company or service that you might actually do business with in an effort to steal your account information.

The scammers assume you have a Instagram account and are hoping you will click on the link and provide your login credentials so they can use this information to access any account you might have.

These tend to be more common with scammers claiming to be from your bank or other financial institutions, but lately they have been targeting social media accounts. Their assumption is that if you use the same login information at one site, you probably use it for another.

Once they get a user name and password combination, these scammers will meticulously go through every possible online service and try to access the accounts with the information they have from this one phishing attack.

That is why it is always a good practice to use a unique password for each one of your online accounts. And yes, that can be a real hassle.

I have been using Google Chrome and logging in with a Google account. This allows me to create and save complex and unique passwords for all of my online accounts.

If you’re not a fan of Google, look at a dedicated password manager like LastPass or 1password for managing this.

Social media platforms like #Facebook, #Twitter and #Instagram started out as a way to connect with friends, family and people of interest. But anyone on social media these days knows it’s increasingly a divisive landscape.

Undoubtedly you’ve heard reports that hackers and even foreign governments are using social media to manipulate and attack you. You may wonder how that is possible. As an information security enthusiast I can explain – and offer some ideas for what you can do about it.

Protect Social Media Account | Protect Your Facebook Account| Protect Your Instagram Account


Bots and sock puppets

Social media platforms don’t simply feed you the posts from the accounts you follow. They use algorithms to curate what you see based in part on “likes” or “votes.” A post is shown to some users, and the more those people react – positively or negatively – the more it will be highlighted to others. Sadly, lies and extreme content often garner more reactions and so spread quickly and widely.

But who is doing this “voting”? Often it’s an army of accounts, called bots, which do not correspond to real people. In fact, they’re controlled by hackers, often on the other side of the world. For example, researchers have reported that more than half of the Twitter accounts discussing COVID-19 are bots.

As a social media researcher, I’ve seen thousands of accounts with the same profile picture “like” posts in unison. I’ve seen accounts post hundreds of times per day, far more than a human being could. I’ve seen an account claiming to be an “All-American patriotic army wife” from Florida post obsessively about immigrants in English, but whose account history showed it used to post in Ukranian.

Fake accounts like this are called “sock puppets” – suggesting a hidden hand speaking through another identity. In many cases, this deception can easily be revealed with a look at the account history. But in some cases, there is a big investment in making sock puppet accounts seem real.

Sowing chaos

Trolls often don’t care about the issues as much as they care about creating division and distrust. For example, researchers in 2018 concluded that some of the most influential accounts on both sides of divisive issues, like Black Lives Matter and Blue Lives Matter, were controlled by troll farms.

More than just fanning disagreement, trolls want to encourage a belief that truth no longer exists. Divide and conquer. Distrust anyone who might serve as a leader or trusted voice. Cut off the head. Demoralize. Confuse. Each of these is a devastating attack strategy.

Taking control

So what can you do about it? You probably already know to check the sources and dates of what you read and forward, but common-sense media literacy advice is not enough.

First, use social media more deliberately. Choose to catch up with someone in particular, rather than consuming only the default feed. You might be amazed to see what you’ve been missing. Help your friends and family find your posts by using features like pinning key messages to the top of your feed.

Second, pressure social media platforms to remove accounts with clear signs of automation. Ask for more controls to manage what you see and which posts are amplified. Ask for more transparency in how posts are promoted and who is placing ads. For example, complain directly about the Facebook news feed here or tell legislators about your concerns.

Third, be aware of the trolls’ favorite issues and be skeptical of them. They may be most interested in creating chaos, but they also show clear preferences on some issues. For example, trolls want to reopen economies quickly without real management to flatten the COVID-19 curve. They also clearly supported one of the 2016 U.S. presidential candidates over the other. It’s worth asking yourself how these positions might be good for Russian trolls, but bad for you and your family.




Because of the multi-purpose aspect of social media platforms, they become valuable tools that the average person spends approximately 100 minutes on every day, according to a recent study. Because they are such omnipresent platforms, and being linked to an increasing number of applications on smartphones and other devices, it becomes even more necessary to secure them.


Users can save themselves from all these things by taking care of few things.


Create strong password

It is very important to protect yourself while using any social media platform. For this, first create a strong and different password. This is such a thing, without which you cannot open your account. For this reason, create a password that is difficult for the hacker to think and cannot easily break it. This will keep your social media account safe and no personal information will be able to go out. Also for the sake of protection please activate multi-factor authentication password while logging into the social media account.


Take care of privacy

Have you ever noticed that whoever is watching what you are sharing on social media?

If you do not want everyone to see the photos, files and other things you have shared, then take care of the privacy settings. While creating an account, first make the settings related to privacy so that your things do not fall into the wrong hands.



Report offensive post

Many times we see many such posts on social media which do not look right, but in spite of this we ignore them. This is our biggest mistake. You should report such posts immediately. It will be beneficial for you as well as the rest of the people. By doing this you can secure multiple people at once. In addition, you can also report fake IDs.


Do not use third party app

Many applications, software, and websites etc. give you the option to login with a social media account. You must have thought many times to press the button of Login with Facebook, but it can become a big problem for you. To avoid this, tap on the app and website in the settings and see all the apps and websites associated with the ID, immediately remove what you don't feel safe.

Conclusion

This article is drafted to explore the privacy and security issues that affect social media accounts. The topics covered herein reveals that users of social media post personal information, which can be used by malicious criminals and businesses to compromise the privacy and security of individuals in the real world. It has been noted that people post personal information because they have a false sense of security while using social media.

Irrespective of  the fact that there are laws and policies that seek to protect users’ information from such vices, individuals should exercise caution and filter information that they publish on social media, because it becomes public as soon as it is posted. So prior to posting any personal information in social media account please judge the personal contents you are willing to publish.

Protect Social Media Account | Protect Your Facebook Account| Protect Your Instagram Account
Protect Social Media Account | Protect Your Facebook Account| Protect Your Instagram Account



virtual private network







Millions of people are still working from home due to the COVID-19 crisis, which makes  VPN access more essential than ever. But in the ever-growing market for commercial virtual private networks, finding the best VPN to suit your particular needs can be difficult. To help you make the right choice, we've sifted through the multitude of overhyped VPN providers touting their own private network to find the best VPN service for you. .    
Since we're living in a connected world, security and privacy are critical to ensure our personal safety from nefarious hacks. From online banking to communicating with coworkers on a daily basis, we're now frequently transferring data on our computers and smartphones. It's extremely important to find ways of securing our digital life and for this reason, VPNs have become increasingly common.

What is a VPN?
A virtual private network is a technology that allows you to create a secure connection over a less-secure network between your computer and the internet. It protects your privacy by allowing you to anonymously appear to be anywhere you choose.

A VPN works by routing your device's internet connection through your chosen VPN's private server rather than your internet service provider (ISP) so that when your data is transmitted to the internet, it comes from the VPN rather than your computer.


How a Virtual Private Network can help protect your privacy online

A VPN is beneficial because it guarantees an appropriate level of security and privacy to the connected systems. This is extremely useful when the existing network infrastructure alone cannot support it.

When your computer is connected to a VPN, the computer acts as if it's also on the same network as the VPN. All of your online traffic is transferred over a secure connection to the VPN. The computer will then behave as if it's on that network, allowing you to securely gain access to local network resources. Regardless of your location, you'll be given permission to use the internet as if you were present at the VPN's location. This can be extremely beneficial for individuals using a public Wi-Fi network or public Wi-Fi hotspots.

Therefore, when you browse the internet while on a VPN, your computer will contact the website through an encrypted connection. The VPN will then forward the request for you and forward the response from the website back through a secure connection.

VPNs are really easy to use, and they're considered to be highly effective tools. They can be used to do a wide range of things. The most popular types of VPNs are remote-access VPNs and site-to-site VPNs.


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Understanding the importance of a virtual private network
We may have heard of a VPN, but we have little or no knowledge about the same. Known as Virtual Private Network, it is a group of computers connected over a public network. The internet is an example of such a network. But what does a VPN do? Read on to find out.

There are numerous benefits linked with the use of a VPN, and more of this is discussed in this article. The VPN is meant to help you protect your internet privacy and also get around your internet censorship.

Unknown to some computer users connecting to a VPN, the data on your personal computer is encrypted to the Virtual Private Network provider.  The best thing is that entities that try to censor some sites are not able to determine the site you are connected to. The filtering entities that may be used to restrict access to specific sites cannot determine whether your computer is accessing such sites or not. For example, access to a specific site may be restricted in your country, but you will comfortably use it when you access it when you connect to a VPN because your connection is encrypted.

At the same time, you are sure of internet privacy when your data is encrypted between your PC and the virtual private network provider. No entity can access your internet connections to see the specific websites you are accessing. Using a VPN keeps your data protected. 

Most internet users keep the notion that connecting to a public network is not safe. The best thing to know is that you will enjoy the benefits of connecting to a virtual private network, even when connected to a public WIFI network. 

If you are browsing from a local café or a public park, some hackers can easily access your data if you are not connected to a VPN. Luckily, you remain protected as long as you are connected to a virtual private network which encrypts your data.

Therefore, you should always ensure to connect to a virtual private network to use a private connection.

Another great thing about virtual private networks is that they don’t require any sophisticated equipment. 

Most VPN providers use software that is included in the windows operating system to allow subscribers to access the network. The provider should give you this information before subscribing for their service.

Virtual private network services are highly affordable. They can cost as little as $5 or higher depending on the quality and the extra features. Take time to find the best VPN provider who will give you value for your money.

Whether you are accessing the internet anonymously for business or personal reasons, you need to invest in the best virtual private network.  There are thousands of companies offering VPN services out there. Free programs are not worth it since they don’t use the best technologies. The best VPN providers will offer unlimited customer support and give affordable rates.



Who needs a VPN?

People who access the internet from a computer, tablet or smartphone will benefit from using a VPN. A VPN service will always boost your security by encrypting and anonymizing all of your online activity. Communications that happen between the VPN server and your device are encrypted, so a hacker or website spying on you wouldn't know which web pages you access. They also won't be able to see private information like passwords, usernames and bank or shopping details and so on. Anyone who wants to protect their privacy and security online should use a VPN.



How to choose a VPN service?

There's a vast range of VPN services on the internet. Some are free VPN services, but the best ones require a monthly subscription. Before you decide to download a VPN, make sure you consider these factors for understanding a VPN.

Cost: VPNs aren't too pricey, but they vary from vendor to vendor. If your main concern is price, then go with something inexpensive, or a free VPN service -- like Spotflux Premium VPN or AnchorFree HotSpot Shield Elite. Free servers are often slower, and since most are ad-supported, they place adverts on the online pages you access. Others can even limit the speed of your connection, as well as your online time or amount of data transferred.

It's also important to note that leading VPN providers offer stronger security features to ensure you're digitally safe. When selecting a paid VPN service, always be sure to check which countries it operates servers in.

What VPNs are used for-?

At its core, a VPN makes you appear to be somewhere you're not. It does this by connecting you to the internet via a server in a different part of the country or a different part of the world. 


There are a lot of ways people use VPNs. VPNs let you:

 Protect your identity while downloading software, especially while using a service like BitTorrent. Whether your downloads are legal or not, many ISPs don't like their customers to use torrents. Using a VPN avoids being chastised by your ISP.

 Hide your online activities. Activists around the world need to worry about having their online activities monitored or outright censored, and sometimes these activities can even put them at risk of physical harm. A VPN is an effective tool for keeping your online activities from being tracked. 

 Avoid geographic restrictions on online content. Some websites and streaming media services are geo-blocked, which means you need to live in a particular country to have access to them. A VPN can help you bypass these blocks by connecting you to a server in any location you want.  

 Securely access your home computer while traveling. A VPN creates a secure and anonymous connection you can use to remotely connect to your home PC when you're away from home.






There are two basic VPN types which are explained below.


1. Remote Access VPN

Remote access VPN allows a user to connect to a private network and access its services and resources remotely. The connection between the user and the private network happens through the Internet and the connection is secure and private.

Remote Access VPN is useful for business users as well as home users.

A corporate employee, while traveling, uses a VPN to connect to his/her company’s private network and remotely access files and resources on the private network.

Home users, or private users of VPN, primarily use VPN services to bypass regional restrictions on the Internet and access blocked websites. Users conscious of Internet security also use VPN services to enhance their Internet security and privacy.



2. Site – to – Site VPN

A Site-to-Site VPN is also called as Router-to-Router VPN and is mostly used in the corporates. Companies, with offices in different geographical locations, use Site-to-site VPN to connect the network of one office location to the network at another office location. When multiple offices of the same company are connected using Site-to-Site VPN type, it is called as Intranet based VPN. When companies use Site-to-site VPN type to connect to the office of another company, it is called as Extranet based VPN. Basically, Site-to-site VPN create a virtual bridge between the networks at geographically distant offices and connect them through the Internet and maintain a secure and private communication between the networks.
Since Site-to-site VPN is based on Router-to-Router communication, in this VPN type one router acts as a VPN Client and another router as a VPN Server. The communication between the two routers starts only after an authentication is validated between the two.




VPNs Don’t Make You Totally Secure

While as IT professional and an ITIL practitioner, we always recommend using a VPN while connecting to the outer world over the internet, it’s important to keep in mind that VPNs don’t make you totally secure. Hackers having quality knowledge as well as the government and law enforcement agencies — can still trace your identity and.

Still, VPNs are considered as one of the vital layers of defense — either to lock out average hackers or convince expert hackers to ignore you. It’s like analogous to home alarm. Experienced burglars can disable pretty much anything. But if you have a good system, burglars are much more likely to skip your house and find an easier target.

Hackers are much the same. These persons are usually highly motivated by money and will focus on victims that present the easiest opportunity. If you have a strong VPN, there’s a good chance they’ll skip you and target someone else without a VPN (and the number of people who use the public internet or open public wi-fi for internet access without a VPN is shocking!).

Use Multi-Factor Authentication (MFA) to Secure VPN

MFA extends primary authentication (such as passwords) with an additional layer of authentication (such as using security tokens) to verify a user's identity. It usually includes at least two of the following categories: knowledge (something they know), possession (something they have), and inherence (something they are).


The goal of MFA is to provide a higher level of identity assurance to users attempting to access resources via VPN. MFA prevents an attacker from accessing your account, even if they obtain your username and password. For example, if you created a layered mechanism, an unauthorized user would have to bypass all layers to gain access.
However, not all MFA solutions and approaches are created equal. Traditional on-premises MFA solutions are often cumbersome to deploy, solve limited use cases, and provide poor user experience. The net result is limited end-user adoption in addition to sunk IT and security costs.
Adaptive MFA (AMFA) integrates with your organization's applications and resources and adds an additional layer of identity assurance, making it ideal for today's rapidly changing security landscape.







How to Evaluate the Risks Assessment and Treatment of IT

What is an assessment of security risks?

The process of identifying and evaluating risks for assets that could be affected by cyberattacks is known as cybersecurity risk assessment. In essence, you identify threats from both within and without; examine how they might affect things like the integrity, confidentiality, and availability of data; and figure out how much it would cost to suffer a cybersecurity incident. Using this data, you can fine-tune your cybersecurity and data protection measures to your company's actual risk tolerance.

antivirus


You must respond to three crucial questions in order to begin an IT security risk assessment:

 

1.       What are the data that, in the event of loss or exposure, would have a significant impact on your company's operations? These are your organization's critical information technology assets.

2.       What essential business procedures call for or make use of this data?

3.       What threats might make it harder for those business functions to function?

You are able to begin design strategies once you are aware of what you need to safeguard. But before you spend a penny or an hour of your time implementing a risk-reduction strategy, think about the type of risk you're dealing with, how important it is to you, and whether your approach is the most cost-effective.

The significance of conducting comprehensive IT security assessments on a regular basis developing a solid foundation for business success is aided by conducting comprehensive IT security assessments on a regular basis.

In particular, it gives them the ability to:

Assess potential security partners, Evaluate potential security partners, Establish, maintain, and demonstrate compliance with regulations Accurately forecast future needs.

 

 Explanation of cyber risk (IT risk) definition

According to the Institute of Risk Management, a cyber risk is “any risk of financial loss, disruption, or damage to the reputation of an organization from some sort of failure of its information technology systems.”

Prevent data breaches, choose appropriate protocols and controls to mitigate risks.

 

Cybersecurity risks include:

When taking stock of cyber risks, it is essential to detail the specific financial damage they could cause to the organization, such as legal fees, operational downtime and related profit loss, and lost business due to customer distrust. Hardware damage and subsequent data loss Malware and viruses Compromised credentials Company website failure.

 

 

The four essential components of an IT risk assessment

In a moment, we'll talk about how to evaluate each one, but first, a brief definition for each:

 

Threat: Anything that has the potential to harm an organization's people or assets is a threat. Natural disasters, website failures, and corporate espionage are examples.

A vulnerability is any potential flaw that would permit a threat to cause harm. A vulnerability that can make it possible for a malware attack to succeed, for instance, is out-of-date antivirus software. A vulnerability that increases the likelihood of equipment damage and downtime in the event of a hurricane or flood is a server room in the basement. Disgruntled employees and outdated hardware are two additional examples of vulnerabilities. A list of specific, code-based vulnerabilities is kept up to date in the NIST National Vulnerability Database.

The total damage an organization would suffer if a vulnerability were exploited by a threat is referred to as the impact. A successful ransomware attack, for instance, could result in not only lost productivity and costs associated with data recovery but also the disclosure of customer data or trade secrets, which could result in lost business as well as legal costs and penalties for compliance.

Probability — This is the likelihood that a danger will happen. Usually, it's a range rather than a single number.

Risk = Threat x Vulnerability x Asset. The following equation can be used to understand risk: Despite the fact that risk is represented here as a mathematical formula, it is not about numbers; It is a well-thought-out plan. Take, for instance, the scenario in which you want to determine the level of danger posed by the possibility of a system being hacked. Your risk is high if the asset is crucial and your network is extremely vulnerable (perhaps due to the absence of an antivirus solution and firewall). However, even though the asset is still critical, your risk will be medium if you have strong perimeter defences and a low vulnerability.

 

There is more to this than just a mathematical formula; It is a model for comprehending the connections among the factors that contribute to determining risk:

 

Threat is an abbreviation for "threat frequency," which is the anticipated frequency of an adverse event. One in one million people will, for instance, be struck by lightning in any given year.

The term "the likelihood that a weakness or exposure will be exploited and a threat will succeed against an organization's defences" is abbreviated as "vulnerability."

What is the organization's security environment like? If a breach does occur, how quickly can it be mitigated to avoid disaster? How likely is it that any given employee will pose an internal threat to security control, and how many of them are there?

A security incident's total financial impact is measured by its cost. Hard costs like hardware damage and soft costs like lost business and consumer confidence are included. Other expenses include:

Data loss: The theft of trade secrets could result in your competitors taking your business. Loss of trust and customer attrition could result from the theft of customer information.

System or application downtime: Customers may be unable to place orders, employees may be unable to perform their duties or communicate, and so on if a system fails to perform its primary function.

Legal repercussions: If someone steals data from one of your databases, even if the data isn't particularly valuable, you could be hit with fines and other legal fees because you didn't follow HIPAA, PCI DSS, or other data security regulations.


Security


 

How to conduct a security risk assessment Now, let's go over how to conduct an IT risk assessment.

 

1.       Identify and prioritize assets- Servers, client contact information, confidential documents from partners, trade secrets, and so on are all examples of assets. Keep in mind that what you consider valuable as a technician may not actually be the most valuable for the company. As a result, you must collaborate with management and business users to compile a list of all valuable assets. Collect, if necessary, the following data for each asset:

 

  • ·         Software

  • ·         Hardware

  • ·         Data

  • ·         Interfaces

  • ·         Users

  • ·         Support Personnel

  • ·         Mission or Purpose

  • ·         Criticality

  • ·         Functional requirements

  • ·         IT security policies

  • ·         IT security architecture

  • ·         Network topology

  • ·         Information storage protection

  • ·         Information flow

  • ·         Technical security controls

  • ·         Physical security environment

  • ·         Environmental security

 

Since most businesses only have a small budget for risk assessment, you will probably only need to cover mission-critical assets for the remaining steps. As a result, you must establish a standard for assessing each asset's significance. The asset's monetary value, legal status, and significance to the organization are common criteria. Use the standard to classify each asset as critical, major, or minor after it has been approved by management and formally incorporated into the risk assessment security policy.

 

2.       Identify Threats- Anything that has the potential to harm your business is a threat. While malware and hackers are probably the first to come to mind, there are many other kinds of threats as well.

Natural catastrophes. Fire, earthquakes, floods, hurricanes, and other natural disasters have the potential to destroy not only data but also servers and appliances. Consider the likelihood of various natural disasters when choosing a location for your servers. For instance, there might be a low chance of tornadoes but a high risk of flooding in your area.

Absence of hardware. The quality and age of the server or other machine determine the likelihood of hardware failure. The likelihood of failure is low for equipment of high quality that is relatively new. However, the likelihood of failure is significantly increased if the equipment is old or comes from a "no-name" vendor. No matter what industry you operate in, you should put this threat on your watch list. It is possible for people to accidentally delete important files, click on a malicious link in an email, or spill coffee on critical systems-hosting equipment.

There are three types of wrongdoing:

When someone damages your business by physically stealing a computer or server, engineering a distributed denial of service (DDOS) attack against your website, or deleting data, they are committing interference.

Your data is stolen through interception.

Impersonation is the misuse of another person's credentials, which are typically obtained through social engineering, brute force, or the dark web.

3.       Identify Vulnerabilities- A weakness that could allow a threat to harm your business is a vulnerability. Analysis, audit reports, the NIST vulnerability database, vendor data, information security test and evaluation (ST&E) procedures, penetration testing, and automated vulnerability scanning tools are all methods by which vulnerabilities can be identified.

 

Don't confine your thinking to software flaws; Additionally, there are human and physical vulnerabilities. Having your server room in the basement, for instance, increases your vulnerability to flooding, and not informing employees about the dangers of clicking on links in emails increases your vulnerability to malware.

 

4.    Controls- To reduce or eliminate the likelihood that a threat will exploit a vulnerability, analyse the controls that are either in place or in the planning stage. Encryption, methods for detecting intrusions, and solutions for identification and authentication are all examples of technical controls. Security policies, administrative actions, and physical and environmental mechanisms are examples of nontechnical controls.

 

Nontechnical and technical controls can be further divided into preventive and detective categories. Preventive controls, as the name suggests, attempt to anticipate and avert attacks; Devices for authentication and encryption are two examples. Detective controls are used to find threats that have already happened or are about to happen; They include intrusion detection systems and audit trails.

 

5.        Determine the Likelihood of an Incident- Consider the type of vulnerability, the capability and motivation of the threat source, and the effectiveness of your controls to determine the likelihood that a vulnerability will actually be exploited. When determining the likelihood of an attack or other adverse event, many organizations use the categories high, medium, and low rather than a numerical score. 

The asset's mission and any processes that are dependent on it; the asset's value to the organization; and the asset's sensitivity. A business impact analysis (BIA) or mission impact analysis report can provide this information. The impact of harm to the organization's information assets, such as loss of confidentiality, integrity, and availability, is quantified or qualitatively assessed in this document. The impact on the system can be graded as high, medium, or low qualitatively.

 

6.        Determine the Level of Risk to the IT System for Each Threat/Vulnerability Pair Prioritize the Information Security Risks

 

The risk-level matrix is a useful tool for estimating risk in this manner. The likelihood that the threat will exploit the vulnerability. The approximate cost of each of these occurrences. The suitability of the planned or existing information system security controls for eliminating or reducing the risk. A probability of 1.0 indicates that the threat will be met; A value of 0.5 is assigned to a medium likelihood; and a 0.1 rating for a low likelihood of occurrence. In a similar vein, the values for a high impact level are 100, a medium impact level is 50, and a low impact level is 10. Risks are categorized as high, medium, or low based on the result of multiplying the threat likelihood value by the impact value.

 

7.        Recommend Controls - Determine the necessary steps to reduce the risk using the risk level as a foundation. For each level of risk, the following are some general guidelines:

 

High: As soon as possible, a plan for corrective action should be created.

Medium: Within a reasonable amount of time, a plan for corrective measures should be developed.

Low: The group must decide whether to take the risk or do something about it.

Be sure to take into account the following when evaluating controls to reduce each risk:

 

Policies of the organization Cost-benefit analysis Operational impact Feasibility Regulatory requirements in effect.

The recommended controls' overall effectiveness, Safety and reliability of the  Document ,the Results ,The development of a risk assessment report is the final step in the risk assessment process

This report will help management make good decisions about the budget, policies, procedures, and other things. The report ought to provide a description of the vulnerabilities that correspond to each threat, the assets that are in danger, the impact on your IT infrastructure, the likelihood of occurrence, and the control recommendations.

 

Report on the IT risk assessment- The risk assessment report can point to important steps that can be taken to reduce multiple risks. For instance, taking regular backups and storing them off-site will reduce the likelihood of flooding and accidental file deletion. The associated costs and business justifications for making the investment should be explained in detail at each step.



Always keep in mind that the core of cybersecurity are the enterprise risk management and information security risk assessment processes. The information security management strategy as a whole is built on these processes, which answer questions about which threats and vulnerabilities can cost the company money and how to reduce them.





Effective Vulnerability Management

Data from a recently released Security Navigator report shows that companies still need 215 days to fix a reported vulnerability. Even critical vulnerabilities usually take more than 6 months to fix.

 



Good vulnerability management does not mean that all potential data breaches are fixed quickly enough. The goal is to focus on real risk, prioritizing vulnerabilities to fix the most critical bugs and reduce the company's attack surface as much as possible. Business data and threat intelligence must be interconnected and automated. This is necessary so internal teams can focus on resolution. Appropriate techniques may take the form of a global vulnerability intelligence platform. Such a platform can help prioritize vulnerabilities using risk scores and allow companies to focus on their true organizational risk.

 

Get started

 

Three facts to consider before building an effective vulnerability management program:

 

 1. The number of discovered vulnerabilities increases every year. On average, 50 new security holes are discovered every day, so we can easily understand that it is impossible to fix all of them.

2. Only a few vulnerabilities are actively exploited and pose a very high risk to all organizations. About 6 percent of all vulnerabilities are exploited in the wild. We need to reduce the burden and focus on the real risks.

3. The same vulnerability can have completely different effects on the business operations and infrastructure of two separate companies, so both business exposure and vulnerability severity must be considered. Based on these facts, we understand that there is no point in patching all the security holes. Instead, we should focus on those that pose a real threat based on the threat landscape and organizational context.

 

Risk-Based Vulnerability Management Concept




The goal is to focus on the most critical and higher-risk assets that are targeted by threat actors. To approach a risk-based vulnerability program, we need to look at two environments.

Internal environment: The customer landscape represents the internal environment. As corporate networks grow and diversify, so does their attack surface. The attack surface represents all the components of the information system that hackers can reach. A clear and up-to-date overview of your information system and attack surface is the first step. It is also important to consider the business environment. Companies can actually be a bigger target depending on the industry because of the proprietary information and documents they hold (intellectual property, classified protection, etc.). A final important factor to consider is the unique context of the business itself. The goal is to categorize assets according to their criticality and highlight the most important. For example: assets that are unavailable would cause significant disruption to business continuity, or highly confidential assets that become available if the organization is involved in multiple lawsuits.

 External Environment: The threatening landscape represents the external environment. This information is not available from the intranet. Organizations must have the human and financial resources to find and manage this information. Alternatively, this activity can be outsourced to specialists who monitor the threat landscape on behalf of the organization. Knowing about actively exploited security holes is important because they pose a greater threat to the enterprise. These actively exploited security holes can be tracked thanks to threat intelligence features and vulnerabilities. Even better is to connect and correlate threat intelligence sources for the most effective results. Understanding what attackers are doing is also valuable because it helps prevent potential threats. For example: intelligence about a new zero-day or a new ransomware attack can be reacted in time to prevent a security incident. Combining and understanding both environments help organizations define their true risks and more effectively determine where preventive and remedial actions should be implemented. It is not necessary to install hundreds of patches, but ten of them, selected to significantly reduce the organization's attack surface.

Five Key Steps to Implementing a Risk-Based Vulnerability Management Program Detection: 1. Identify all your assets to find the attack surface: Exploratory scanning can help provide initial insight. Then regularly scan your internal and external environment and share the results with a vulnerability intelligence platform.

2. Contextualization: Determine the criticality of your business context and assets in a vulnerability intelligence platform. The scan results are then put into context with a specific asset-based risk score.

3. Enrichment: To prioritize the threat landscape, scan results must be enriched with additional sources provided by the vulnerability intelligence platform, such as threat intelligence and attacker activity.

4. Fix: A vulnerability-specific risk score that can be targeted based on threat intelligence criteria such as "easily exploited", "exploitable in the wild", or "widely used" makes it much easier to prioritize effective remediation.

5. Evaluation: Track and measure the progress of your vulnerability management program using KPIs and custom dashboards and reports. It is a continuous process of improvement!

 

 

Common Enterprise Network Security Vulnerabilities That Need Attention

A few years ago, corporate network security viewed differently than they are today. As companies began to apply modern technologies to their businesses, they opened the door to digital attacks, exposing additional network vulnerabilities that attackers could easily exploit. As such, "enterprise web security" has become one of the key considerations for companies as they grow their digital business. The web security at companies must effectively control network threats to avoid the financial or reputational damage normally associated with data breaches. Prioritizing web security as an active part of an enterprise risk management solution can therefore help organizations protect their sensitive digital assets.

 Before we delve into the vulnerable areas of corporate web security, let's understand what they are:

 What is corporate security? It includes systems, processes and controls to protect IT systems and critical data in an organized manner.

 Privacy and compliance regulations are tightening around the world as organizations continue to rely on cloud-based infrastructure. Therefore, appropriate measures should be taken to protect critical assets.

 Let's take a look at common cyber vulnerabilities faced by  organizations:

 What are the common cyber vulnerabilities of enterprise organizations? It has become one of the biggest concerns for companies in the industry.

 Review these common vulnerabilities and stay alert.

 Missing or Weak Data Encryption

 Missing or weak encryption coverage makes it easier for cyber attackers to access end-user and central server communication data. Unencrypted data exchange makes it a very easy target for attackers to access sensitive data and inject malicious files into your server.

 Malware files can seriously undermine an organization's cybersecurity compliance efforts and result in fines from regulators. Organizations typically have multiple subdomains, so using a multi-domain SSL certificate is ideal. Organization can protect the main domain and multiple domains with a single certificate.

 Certain software vulnerabilities that are ultimately known to an attacker but have not yet been discovered by an organization can be defined as zero-day vulnerabilities. Regarding the zero-day vulnerability, there is no resolution or fix available as the vulnerability has not yet been reported or detected by the system vendor. There is no protection against such vulnerabilities until an attack takes place, so of course they are very dangerous.

 The least an organization can do is to stay vigilant and regularly scan systems for vulnerabilities to minimize, if not stop, zero-day attacks. Apart from that, businesses can be armed with a comprehensive endpoint security solution to prepare for malicious events.

 Social Engineering Attacks

 Malicious actors launch social engineering attacks to bypass verification and authorization security protocols. This is a widely used method for accessing networks.

 “Social engineering” can be defined as any malicious activity carried out through human interaction. This is done through psychological manipulation that tricks web users into making security mistakes or accidentally sharing sensitive data.

 Over the past five years, network vulnerabilities have increased significantly, making it a lucrative business for hackers. Internet users are not fully aware of Internet security and may (unintentionally) pose a security risk to your organization. They accidentally download malicious files thereby causing severe damages.

 Common social engineering attacks include:

 Phishing Email

 Spear Phishing

 Whaling

 Vishing

 Smiting

 Spam

 Pharming

 Tailgating

 Shoulder Surfing

 Trash Diving

 Accidentally exposing an organization's network to the Internet is one of the biggest threats to an organization. If an attacker is detected, they can snoop corporate web traffic, compromise a network, or steal data for malicious purposes.

 Network resources with weak settings or conflicting security controls can lead to system misconfiguration. Cybercriminals typically scan networks for system misconfigurations and use them to misuse data. As digital transformation progresses, network misconfigurations are also increasing.

 To eliminate this, an organization often uses a "firewall" in his DMZ. It acts as a buffer between your internal network and the Internet, acting as your first line of defense. Therefore, it tracks all outgoing and incoming traffic and decides to limit or allow traffic based on a set of rules.

 Outdated or Unpatched Software



 Software vendors typically release updated versions of their applications to patch known critical vulnerabilities or to incorporate new features or vulnerabilities. Outdated or unrepaired software is an easy target for sophisticated cybercriminals. Such vulnerabilities can be easily exploited.

 Software updates may contain important and valuable security measures, but organizations should update their network and each or all endpoints. However, it is quite possible that updates for various software applications will be released daily.

 This puts a heavy burden on the IT team and can delay patching and updating. This situation paves the way for ransomware attacks, malware, and multiple security threats.

 These are some of the most common vulnerabilities in enterprise web security. Therefore, take appropriate measures to counter these threats.

 There is always the risk of network vulnerabilities being compromised as malicious actors try to find various ways to exploit and gain access to systems. And as networks become more complex, there is an imperative to proactively manage cyber vulnerabilities.

 Vulnerability management is the consistent practice of identifying, classifying, remediating, and mitigating security vulnerabilities within organizational systems such as endpoints, workloads, and systems.

 Summary- An organization's IT environment can have multiple cybersecurity vulnerabilities, so a robust vulnerability management program is required. Use threat intelligence and IT and business operations knowledge to identify risks and detect all cybersecurity vulnerabilities in the shortest possible time.

 


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