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)
What is the most common cyber scam in India? – Phishing and UPI fraud.
Can banks ask for OTP on calls? – Never.
Is scanning QR code safe? – Only when you are paying someone.
Are WhatsApp messages safe? – Only from verified contacts.
What should I do after UPI fraud? – Report immediately via bank and cybercrime.gov.in.
Is antivirus required on mobile? – Optional but helpful.
Are public Wi-Fi networks safe? – Mostly unsafe.
Do password managers store passwords securely? – Yes.
Can software updates prevent hacking? – Yes.
Is cyber security only for IT users? – No, it is for everyone.
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.
👉 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?
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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?
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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?
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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?
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Not if done right. Lightweight governance protects innovation by preventing costly mistakes and building customer trust.
How often should AI governance be reviewed?
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At least annually, and whenever there are major AI changes or incidents.
What is shadow AI?
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Shadow AI refers to AI tools and projects used in the organisation without formal approval, documentation, or governance controls.
Who owns AI risk?
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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?
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No. It covers people, processes, policies, and technology together.
Can SMEs adopt ISO 42001 partially?
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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?
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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 (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.
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
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
Area
Traditional Approach
Gen Z + AI Approach
Compliance
Annual audits
Continuous, AI-driven monitoring
Risk
Reactive analysis
Predictive intelligence
Security
Firewall-based perimeter
Zero-trust, AI-anomaly detection
Ethics
Policy-driven
Value-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.
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 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?
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
OneTrustBigID
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
OneTrustCustom
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 Threats
Impact
External & Internal Attacks
Data breach, reputational loss
Identity theft
Legal, financial liabilities
Ransomware
Operational paralysis
Drivers
Driver
Key Factor
Regulatory Complexity
Multi-jurisdictional obligations
Market Demand
Privacy as competitive advantage
Technology
AI, Cloud, IoT
SVG Infographic — Data-Centric Privacy
Data SourcesControls & SafeguardsGovernanceProcess • Policy • PeopleConsumersPartners
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.
Issue
Why it matters
Mitigation
Low awareness
Employees and customers unaware of rights/risks
Targeted training; short micro-modules
Growth vs Privacy
Revenue goals may override privacy controls
Privacy risk scoring in product roadmap
Forced consent
Legal & reputational risk
Design clear, granular consent flows
Data complexity
High volumes, multiple formats
Automated discovery & classification
Budget constraints
Limits tool adoption & people
Phased 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.
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 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
Stage
Description
Risk Identification
Spot possible threats: cyber attacks, data leaks, vendor failures, regulatory fines.
Risk Analysis
Assess likelihood + impact (qualitative or quantitative).
Risk Evaluation
Compare risks against organisational tolerance or risk appetite.
Risk Treatment
Mitigate, transfer, accept, or avoid the risk via controls or process changes.
Continuous Monitoring
Track 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
Benefit
Why It Matters
Customer & Partner Trust
Clients share sensitive data only if compliance standards are demonstrable.
Operational Discipline
Standardized controls reduce human error and enforce consistent practices.
Regulatory Readiness
Helps adapt quickly to changing laws and cross-border regulations.
Market Advantage
Certifications 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
Type
Description
Examples
Preventive
Stop threats before they happen.
Firewalls, MFA, patch management, least privilege access
Detective
Detect suspicious or malicious events in real-time.
SIEM, IDS/IPS, log monitoring, anomaly detection
Corrective / Recover
Respond and recover from incidents or control failures.
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 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 MappingAutomated DSRM & ConsentDashboards & 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.
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 CareVerified conformity, increases awareness & understandingIndependence & Evidence-Based ApproachReduces risks & identifies improvement opportunitiesContinuous ImprovementPerformed 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 ProcessInput/Output, PDCA, ResourcesRelationship with Other ProcessesFlow, 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.
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.
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:
Context of the organization
Leadership & commitment
Planning and risk assessment
Support & awareness
Operation and performance evaluation
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:
Define the scope of ISMS
Establish an information security policy
Perform risk assessment & treatment planning
Implement controls
Monitor, measure, and evaluate effectiveness
Conduct internal audits and management review
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
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.
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.
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.
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.
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 organizationCost-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.
Identity
theft is the use of someone else's personal information without permission,
typically to conduct financial transactions. By personal information, we mean
data that institutions use to recognize any individual associated with the
institutions. Examples are social security number, bank account number, address
history, and soon and so forth.
These types
of valuable information are in theory private and should be treated as SPII, but
in practice can often be discovered in a variety of ways by a dedicated
identity thief, who can then either access individual’s own accounts or open
new ones in your name. The latter practice can be particularly having a harmful effect, with just your social security number,
identity thieves can take out loans or credit cards that they never pay off —
and the resulting damage to your credit rating can be very difficult to undo.
While identity theft is a very old crime, in many ways it is a defining problem of our modern
digital age, in which your personal information can easily be exposed online
due to your own negligence or the poor security practices of companies you do business
with, and so much of your financial life rides on the accuracy of your credit
rating. The damage can be mitigated, but it's better to prevent the theft in
the first place.
Impact of identity theft on business
Identity
theft is most often associated with the act of stealing an individual's
identity.
Here we
are talking about an identity thief pretending to be someone within a company
who has the authority to make financial transactions, just like they might
pretend to be another individual.
The
consequences can be dire, particularly for small businesses where the founder's
or owner's finances are deeply entangled with the company's.
How is identity theft committed?
Every
act of identity theft begins with a thief gaining access to one or more pieces
of personal information about the victim. Thieves can, for instance:
·
Many of
these techniques would work on both individuals and businesses. Businesses are
often less strict about controlling "personally" identifying
information than individuals, since certain facts about businesses must be
public by law, and a business is run by multiple people and lines of
responsibility may be diffuse.
Identity theft examples
Once
identity thieves have identifying information about you or your company,
there's a lot of different techniques they can use to profit from it.
Accessing existing financial accounts. This is probably the most straightforward way to
profit from identity theft-- by simply stealing your money. With a credit card
or bank account number, identity thieves can make purchases until the fraud is
noticed and the accounts frozen. Businesses, which may have large amounts of
cash or credit for day-to-day operations, are a particularly tempting target.
Opening a fraudulent credit card or other line of
credit. This can be achieved with as little data as a name
and a social security number. Once the credit is available to the identity
thief, money can be withdrawn and spent or charges made to the card — and of
course they'll make no attempt to pay off the loan. Since the debt is attached
to the victim's social security number, there are little or no consequences for
the identity thief. Again, businesses are a particularly tempting victim of
these scams, as they can often acquire bigger lines of credit than individuals
can.
Identity
theft protection
There's
a wealth of information out there on how to protect yourself from identity
theft, from outlets ranging from credit agencies to government websites to
personal finance publications. While the details differ, there are some bits of
advice that almost everyone seems to agree on, and they apply to individuals
and businesses alike.
Following
are the points we can practice to our confidential data safe from theft.
1.Don't share personal
information (birthdate, Social Security number, or bank account number) because
someone asks for it.
2.Pay attention to
your billing cycles. If bills or
financial statements are late, contact the sender.
3.Secure your Social
Security number (SSN). Don't carry your Social Security card in your wallet.
Only give out your SSN when necessary.
4.Collect mail every day. Place
a hold on your mail when you are away from home for several days.
5.Store personal
information in a safe place.
6.Install firewalls
and virus-detection software on
your home computer.
7.Create complex passwords that
identity thieves cannot guess. Change your passwords if a company that you do
business with has a breach of its databases
8.Update sharing and firewall settings when you're on a public wi-fi network. Use a virtual private network (VPN), if you use
public wi-fi.
How to report identity theft
That's
a long list of precautions you need to take, and while many people make strong
efforts to meet all of them, it's hard to do it all perfectly — and an identity
thief only needs to get lucky once. And as we've noted, many identity thieves
get personal data derived from hacks of corporate systems, so even if you've
been completely vigilant about your data, you can still find yourself a victim
of identity theft if some company you've done business with lets down its
guard.
If you think,
you have been hacked or your confidential information are compromised, here are
few tips you can follow.
1.Pull your credit report. Every year, you’re entitled to one free credit report
from each of the main credit card company You can access these reports from the
respective credit card issuer company’s website as well.
2.File a police report and fraud affidavit. These can be obtained from your creditor(s) recovery department,
and provide copies of these documents and any additional necessary paperwork to
creditors’ fraud departments.
3.Create an Identity Theft Report. Do inform the credit card issuer about the fraud
online .The online report asks a few questions about your situation, then
devises a personal recovery plan.
4.Place an extended fraud alert on your credit file. This alert lasts seven years and is available only to
identity theft victims. To get an extended fraud alert, you’ll first need to
fill out an Identity Theft Report.
5.Makea list of suspicious activity. Applications
to open new accounts, as well as the accounts that have already been
fraudulently opened in your name, must be noted and forwarded to the three
credit bureaus and listed on your Identity Theft Report.
6.Provide
creditors’ fraud departments with the details and contacts. It will take up to 90 days to conduct a full
investigation.
7.Obtain letters from your creditors. These letters should state that the fraudulence
on your account has been confirmed, resolved and removed from your account.
Then make sure that your creditors have expunged this negative reporting on
your account and that a letter stating this has been sent to all three credit
reporting bureaus. (As a backup, you should personally send a copy of these
letters to the credit reporting agencies as well.) Be sure to call afterward to
make sure that they have received this information.
Conclusion
Identity
theft not only impacts you financially but emotionally as well. The emotional
stress can disrupt your sleeping and eating and lead to depression. If such
things happens then giving yourself room to breathe and allowing some time to
pass to repair the damage, noting that recovering from identity theft can be a
process that takes weeks or even months.
👉With reference to the COVID-19 pandemic,
where in one hand staying healthy is a big issue and on the other hand theabnormal becomes our new normal, Business houses and especially the SMBs
need to approach remote work by using a combination of cloud-based services,
e.g GCS, AWS, MS Azure and on-premises solutions to keep employees and systems safe
and ensure business productivity.
SMBs are proactively putting tools in place to
combat attacks and limit their vulnerabilities even though they continue
grappling with limited security budgets and resource constraints. SMBs are coordinating
with vendors and engaging in-house experts to incorporate multi-layered network
security tools and a hybrid network infrastructure, such as SD-WAN, to avoid
large-scale network vulnerabilities, regardless of budget and resource size.
SD-WAN allows opportunity to small businesses who
are operating in multiple physical locations and using bandwidth intensive
applications, such as Voice over IP tools, Zoom, or Salesforce, to take advantage
of this technology. SMBs can increase branch office network security, increase
Internet efficiency, and decrease IT spending.
However,
dealing with these challenges during a work-from-home shift has created gaping
vulnerabilities within an organization's networks and adds another challenge to
an already overburdened IT department to maintain the deliverables on time.
If you go through the forum and articles related
to IT security, you will notice that many companies/SMBs haven't had the time
or resources to ensure an adequate security policy for their workforce. They
are, continuing business operations against lower levels of protection
due to lack of IT security framework, policies and guidelines.
In addition to framing a general
security check policy, SMB leaders should remind employees of security best
practices for end users, review and update disaster recovery plans, and
establish strong lines of communication among all remote teams.
Security and IT professionals also
suggests the same for the SMB leaders to strengthen their overall business
continuity strategy
There’s
enough room of opportunities for small- and medium-sized businesses (SMBs) to
tighten their IT security infrastructure — and no lack of reasons they should.
We’ve prepared list of an IT security checklist
for small businesses — the core practices moving IT teams off the hamster wheel
and into proactive, not reactive, IT enterprise security.
Business IT security checklists should be potent enough to
address these top malicious cybersecurity incidents and attacks before they
become mission-critical, non-recoverable breaches.
Here is a simple guide on how to perform a basic IT security
audit for a small to medium business.
👉Identify the Business Assets
The first
and foremost task for an organization is to identify the various assets a
business maintains and owns. During the audit this makes it easier to
map out the scope of the audit and ensure that nothing is overlooked.
Asset details creation
The IT auditor or the person conducting the audit
should list down all the valuable assets by taking help of asset and inventory
management team of the company that requires protection. Items to be included
in the master list are framed below:
·Hardware and Equipment including but not limited
to computers, laptops, servers, hard drives, modems, printers, phone systems,
mobile devices, etc.
·Software, online tools, and apps including email
servers, cloud storage, data management systems, financial accounting systems,
payment gateways, websites, social media accounts, etc.
·Files and data storage systems including company
finance details, customer databases, product information, confidential
documents, intellectual property, etc.
·Existing IT Security Software and Procedures
Asset classification
based on importance
Once
the asset master list is created, the next step should be to prioritize the
assets based on how essential they are to the business. One of the criteria to
decide what should be on top of the list is to consider how big an impact the
business could experience should a problem occur to these assets.
Schedule the audit
Based on the asset classification based on the importance list,
the audit should be scheduled accordingly. Managers and employees should be
informed of the scheduled dates in case access and operations would need to be
interrupted.
Customers and clients who use certain
assets such as websites or apps should also be informed in advance for any
downtime during the audit window.
Recognize Risks and
Threats
After generating the list of assets and
identifying the scope of the review, the IT auditor should pre-identify the
potential risk and threats the business could face. These risks and threats are
the factors the audit should be testing against to ensure that security
measures are well-implemented.
These risks and threats can include:
·Hardware and equipment failure
·PC viruses, malware, phishing, ransomware and
hacking attacks
·Natural disasters such as fire, flood, and
earthquake
·Theft of physical property or equipment
·Theft of data whether external and internal
·Loss of Data
·Unofficial access
Audit Techniques
Before performing the on-site evaluation, the IT
auditor should set audit techniques that will be utilised to do the review.
These techniques can include:
·Technical examinations including physical
performance testing, monitoring and scanning through software
·Visual inspection of location, placement, and
physical condition of the hardware
·Observation and analysis of assets in relation to
threats and risks
·Questionnaires and in-person
interviews to determine compliance to security protocols,
password practises, and access control to data and accounts
Perform On-site Evaluation
This is when the actual audit takes place. All
the previous steps that were taken into account should prepare the IT auditor
to effectively conduct the review of the
assets. It is important to also assess existing security procedures, if any,
during this time.
The IT auditor should use a uniform evaluation
scheme during his appraisal. This does not need to be complicated and should be
easy for the business managers and stakeholders to understand.
While the audit is ongoing, the IT auditor should
use his preferred evaluation scheme to note down the results of the tests, all
the actions taken during the audit, as well as what further actions need to be
implemented after the audit.
There are times when straightforward resolutions
can be executed immediately such as re-installing an outdated antivirus
software or limiting access controls. However, there are also solutions that
may be more time-consuming such as data backup or may involve purchase of new
assets to be implemented.
Diligently noting down his findings will make it
easier for him to remember these details when creating the post-audit report.
This is the next step of the process.
Observations, Reports and Recommendations
The final yet most important part of the IT
security audit is the preparation of the audit report. This will include the
details of the testing, findings as well as the recommended action plans to be
taken. This report must conclude what needs to be resolved, revised and
upgraded to meet industry IT security standards.
In creating the report, the IT auditor should
note down the security gaps that were identified during the system checks, with
probable cause and state clear recommendations on how to resolve the issue. It
should also indicate the potential impacts the problem will further create if
not immediately rectified.
For example, if a business is suffering from no
AV updates and windows security patch updates his recommendation report should specify this
issue as the problem.
Potential causes can be unexpected electric
surges or out-of-date equipment not compatible with the existing office
network. He should then list down the business consequences caused by this IT
issue such as loss of productivity and project delays.
Lastly, he should research and specify an
actionable recommendation such as employing remote diagnostics as an
immediate troubleshooting method to prevent long downtime periods or maybe purchasing
new equipment altogether.
Better Secure than
Sorry
Any Business house , big or small, is vulnerable
to the hazardous threats and cyber-attacks that can disrupt the business operations. The survival of SMB’s
will depend on how fast they can adapt to the digital landscape that is
constantly transforming the face of business.
Having a security-first mentality through the
performance of regular audits is a smart way to establish a secure IT
environment and will keep SMB’s equipped and ready to meet the challenges
head-on.
Today we will learn about Cyber security, Cyber Security
elements , Types of cyber-attacks and
the importance of cyber security.
What is cyber
security
Definition – In simple words this is a type of security used for
systems connected to the Internet. It also works to protect hardware, software
and data from cybercrime.
Both cyber security and security forces are kept protecting
the data so that the data is not stolen in any way and all the documents and
files are safe. Great computer specialists and IT trained people are able to do
this kind of work.
Cyber security elements
Application Security
Information Security
network security
Emergency protection
Operational safety
End User Education
Data security
Mobile Security
Cloud Protection
Many times, the danger in cyber security is because the
network connection and the Internet is changing the world at a very rapid rate,
due to which security has become very important.
The administration is adopting several methods to deal
with such activities. Strong capital is being used by many countries for cyber
security so that the personal data of those countries is not leaked and all the
information is protected.
In 2017, in one cyber security survey its estimated that
information security expenditures across the world had risen to 83.4 billion
and had increased nearly 7% since 2016. In the coming time, by the end of 2020,
expenditure on its product and service will be up to 150 billion.
Types of cyber security
attacks
Due to changing technology, our security and intelligence
has become very challenging for us. However, to avoid cyberbullying, we need to
keep our information secure.
Ransomware - This is a type of virus used by criminals to attack
people's computers and systems. This causes a lot of damage to files lying on
the computer. Then the criminal takes bribe from whichever computer or system
is malfunctioned in this way and then leaves his system.
Malware - It damages any file or program of computer such as
computer virus, worm, trojan etc.
Social engineering - This is a kind of attack that depends on human
interaction. So that people can be tricked into the web with cleverness and
their personal data, password etc. can be removed from them. Because of this
also people are in great danger, so whoever you talk to, do it very carefully.
Phishing - This is a type of fraud in which emails containing
fraud are sent to people so that they feel that this mail has come from a good
organization. The purpose of such mail is to steal the necessary data such as
credit card information or login information.
Advantages of cyber security
Cyber security is necessary because the government, military,
corporate, financial and medical institutions collect a lot of data and keep
that data in their systems, computers and other devices. Some part of this data
can also be very important, due to which theft can have a profound effect on
one's personal life and it can cause all the soil of that institution to be
silted.
With the help of cyber security, this data is kept secure
so that this data cannot be captured by anyone else. As the data grows, we need
good and effective cyber security products and services.
With the help of cyber security, we can avoid cyber-attack,
data theft and thieves threats. Whenever an organization has the security of a
good network and there are ways to avoid any kind of difficulty, all this work
is possible only with the help of cyber security products and services. For
example, many types of antivirus etc. protect us from virus attacks.
Cyber security is a continuous process because of the
risk. Security systems are constantly updated to check and control the
increasing volume and complexity of cyber-attacks.
In the coming years, there will be even more advanced cyber-attacks
using new technologies and intentions. Dark
Web, the availability of ransomware and malware on the Dark Web will
increase dramatically. It will not allow anyone, no matter how much technical
knowledge they have, to launch a cyber-attack easily and quickly.
Nevertheless, due to the damage caused by cyber-attacks
in the past, there is now a greater awareness of cyber-attacks and better cyber
security measures are also needed among all types of organizations.
With the now applicable EU
GDPR (General Data Protection Regulations), organizations may face fines of up
to 20 million euros or 4% of annual global turnover for certain violations.
There are also non-financial costs to consider, such as reputational damage and
loss of customer confidence.
Cyber-attacks have become more sophisticated with attackers
using ever-increasing tactics to exploit weaknesses in social engineering,
malware and ransomware (as was the case with Petya, WannaCryand Crypto-Locker).
Three pillars of cyber security [PPT]
1People:
Every employee and stakeholders
should be aware of their role in preventing and mitigating cyber threats, and
specialized technical cyber security employees need to be fully prepared with
the latest skills and qualifications to mitigate and respond to cyber-attacks
is.
2 Processes:
Processes are important in
defining how organization activities, roles, and documentation are used to
reduce the risks of organization information. Cyber threats change quickly,
so processes need to be constantly reviewed to be able to adapt with them.
3Technology:
By identifying the cyber risks
that your organization faces, you can then begin to see which place to control,
and what technologies you will need for this. Technology can be deployed to
prevent or mitigate the effects of cyber risks, which depend on your risk
assessment and your acceptable level of risk.
Cyber security needs more women role models
Information and cyber security assurance body Crest has
highlighted a number of actions needed to improve gender diversity in cyber
security, including more outreach into schools, dedicated career mentoring for
women entering the sector and changes to recruitment practices.
Borne out of research undertaken at a recent gender
diversity workshop organised by the non-profit group, alongside polling of its
accredited members, Crest’s report, Exploring the gender gap in cyber security,
found that while awareness of gender diversity was improving in security, there
was still more work that could be reasonably undertaken to make an even greater
difference.
Polls taken across two workshop events held during the
summer of 2019 found that only 14% of attendees thought that not enough was
being done to close the gender gap, but 86% believed that the progress that has
been made was not enough.
The study also revealed that 59% of women in security
said their experience in the industry was “mixed”, in that they had received
some support but, equally, obstacles and challenges arose specifically because
they are women.
“It is encouraging that as an industry we are making
progress, but there is a lot more to do and improving the visibility of female
role models will allow us to challenge the perception of the cyber security
industry,” said Crest president Ian Glover.
The main priorities for change identified at the
workshops were encouraging girls and young women to study computer science;
improving visibility of women role models in security; challenging the
perception that security is a gender-specific role; and industry-wide mentoring
and coaching for women embarking on careers in the sector.
The report said that senior security leaders could and
should shoulder more of the legwork in approaching schools and colleges, to
help address a lack of interest in Stem subjects. This could be coupled with
better promotion of established initiatives, such as the National Cyber
Security Centre’s (NCSC’s) Cyber-First Girls contest.
Crest’s report also pointed to issues with current
recruitment practices, and said change is needed in how security jobs are
described and “sold” to women, right down to the language used in ads, and even
candidate requirements.
Many of those present at its workshops said that the
inclusion of training options in job adverts could encourage more women to
apply, as would the introduction of flexible working hours, maternity policies
that go above and beyond the bare minimum, and support for women going back to
work after a career break.
Crest also found demand for an industry-wide mentoring
and coaching scheme for women, creating a community, and helping people grow
and develop in their careers.
“Schools hold
the key and we need to help them to encourage more girls into the industry.
Furthermore, the mentoring scheme would give a platform on which role models
can help to coach and guide others, which in turn will help to challenge the
perception of gender as it relates to the industry,” said Glover.
Wireless technologies enable
military and civilian government and corporate houses as well operations to
dynamically interconnect Local Area Networks (LANs) quickly and reliably in
environments where wired connections are impractical and cost-prohibitive. This
connection of LANs over the air without the use of a fixed, wired medium is
typically referred to as wireless interconnectivity. Under this infrastructure,
a number of specific connection technologies are used including radio
frequency, microwave, and free-space optics.
While popular from an
operational perspective, wireless LAN interconnections suffer significant
drawbacks when it comes to security. As with any open medium, ensuring the
confidentiality and integrity of sensitive data traveling across these networks
is of paramount importance. These security challenges incurred by transmission
of sensitive information over the airwaves include both passive and active
attacks. Passive attacks occur when perpetrators collect and read sensitive
data, whereas active attacks occur when perpetrators inject new traffic and
network integrity is breached.
To provide insight into
remedying these challenges in a connected and operational arena, the following
discussion examines LAN operational advantages and associated vulnerabilities –
and explores Layer 2 versus Layer 3 alternatives for enhanced security.
The expansion of wireless LAN
interconnections within government and enterprise has come as a result of LAN
flexibility, ease of deployment, and cost savings. As alluded to previously,
outdoor wireless interconnections over radio frequency, microwave, and
free-space optic mediums allow system architects to connect LANs dynamically
without having to physically lay cable or provision a service. In military
environments in particular, wireless LAN interconnections can be established
and dismantled at a moment’s notice in accordance with changing tactical and
strategic battlefield conditions. Examples of this include forward-deployed
tactical units and strategic intra-base virtual campus topologies such as
military clinics and hospitals. A schematic representation of this environment
is shown in Figure 1.
FIGURE-1
Figure 1: Wireless
LAN interconnection in a forward-deployed tactical battlefield environment
While providing quick setup
and complete ownership of the backbone wireless LAN links, the connections
offer no inherent level of security. Wireless LAN interconnections are
vulnerable to interception, and therefore, must be secured to ensure the
confidentiality and integrity of the data traveling across them. As a result of
this vulnerability, the U.S. government has developed regulations to mitigate
the threat of interception and specifies encryption as the preferred mechanism
for protecting sensitive data. Within the Department of Defense (DoD),
directives DoDD 8500.2 and DoDD 8100.2 mandate that Sensitive But Unclassified
(SBU) data be encrypted using FIPS 140-2 approved equipment employing the
Advanced Encryption Standard (AES) algorithm when employing wireless systems.
In theory, encryption across
LANs can be done at any of the seven layers defined by the Open System
Interconnection (OSI) model for data networking (Figure 2). The OSI
architecture model defines the functions and components that establish a data
connection. Depending on where encryption is employed in the layered model, the
more transparent and therefore effective it can become. Higher in the model (at
Layer 7), specific applications are considered, while at the bottom (Layer 1),
the general physical medium is addressed. Data encryption is generally done at
the frame (Ethernet Layer 2) or packet (IP Layer 3) levels.
FIGURE-2
Figure 2: OSI
reference model for data networking
Layer 2 versus Layer 3:
Advantages and vulnerabilities
While the application of
encryption technologies to protect LAN interconnections can thus be made at
either Layer 2 or Layer 3, with the proliferation of the Internet, most
encryption devices available in the market until just recently were packet encryptors
operating strictly at IP Layer 3 using the IP Security (IPsec) encryption
standard. However, with increased traffic volumes and growing use of
latency-sensitive applications such as voice, video, and multimedia, IPsec has
shown significant limitations that impact operational performance. Given the
nature of deployed battlefield communications, Layer 3 interconnections using
IPsec encryption have proven impractical.
Additionally, Layer 2
establishes the physical connection between the local telecommunication devices
and remote destinations, and defines the data frame as the physical
transmission medium between nodes. Layer 2 connections are primarily used for
high-speed/high-data throughput applications between telecommunication
facilities. When this layer is used to connect telecommunications facilities on
high-speed lines, encryption mechanisms encapsulate all higher-level protocols
crossing the link.
Enhancing LAN security
LANs are known for their
ease-of-use and quick setup. However, LAN security is only as good as the weakest
links that tie the wireless network together. Numerous protection challenges
including strong access control mechanisms, intrusion detection and prevention
systems, firewalls, malware removal, and encryption are often tested and
deployed within LANs. However, if these methodologies are not connected
securely, tremendous data compromise and interception vulnerabilities will
result.
For every IT operational
organization, there is necessary to implement integrated system - General Data
Protection Regulation (GDPR) and Information Security Management System (ISMS)
to develop data protection and information security-related controls. So, many
global organisations are now adapting Integrated EU GDPR and ISO 27001:2013
Documentation kit to implement the GDPR based ISMS system and that can be used
to accelerate implementation process for ISO 27001 certification and EU GDPR
certification.
With providing facility to
address all the elements of the Information security management system and the
General Data Protection Regulation, The Integrated EU GDPR and ISO 27001
Documents are ideal and the guidelines to be used by any individual or by a
facilitator working with large groups to implement successfully. This
integrated documentation kit has been developed by globally reputed team of
ISMS certification consultants and trainers.
To establish a well-integrated
system as per GDPR and ISMS requirements, the contents of the documentation kit
are drafted which includes more than 155 editable files are divide in following
directories,
· ISMS Manual
· ISMS and GDPR Policy
· ISO 27001 and GDPR Procedures
· Standard Operating Procedures
· Process Flow Charts
· Forms for record-keeping
· Filled forms
· ISO 27001 Audit checklist
· Document Compliance Matrix
The entire integrated EU GDPR
and ISO 27001:2013 documents are editable and to minimize the time and cost
involved the implementation of the GDPR and ISMS systems in many companies. The
user can edit total documentation templates as per organization working system
and create own documents for their organization.
Annex A of ISO 27001 is an essential operating procedure for
managing security. It provides guidelines of security controls to be used to
improve information security. As you can see from the list below, ISO 27001 is
not fully focused on IT, while IT is very important, IT on its own cannot
protect information. Instead, there is requirement of Physical security, HR
management, organisational issues and legal protection, along with IT are
required to secure the information. A useful way to understand Annex A is to
think of it as a catalogue of security controls – based on the gap analysis and
risk assessments, auditor should then select the ones that are
applicable to the organisation and tie
into your statement of applicability.
Annex A.5 –
Information Security Policies
Annex A.5.1 is about management direction for information
security. The objective of this Annex is to manage direction and support for
information security in line with the organisation’s requirements.
Annex A.5.2 is about review of policies. The policies
must be also reviewed and updated on a regular basis. ISO considers
‘regular’ to be at least annually, which can be hard work if you are manually
managing that many reviews and also dovetailing it with the independent review
as part of A.18.2.1. READ MORE --https://covid19guide2020.blogspot.com/2020/05/cyber-threats-are-on-rise-as-more.html
Annex A.6 –
Organisation of Information Security
Annex A.6.1 is about internal
organisation and within the stake-holders for making and executing the IS
policies. The objective in this Annex A area is to establish a management
framework to initiate and control the implementation and operation of
information security within the organisation.
Annex A.6.2 is about mobile devices and teleworking. The
objective in this Annex A area is to establish a management framework to ensure
the security of teleworking and use of mobile devices .BYOD can also be considered.
Annex A.7 – Human
Resource Security
Annex A.7.1 is about prior to
employment. The objective in this Annex is to ensure that employees and
contractors understand their responsibilities and are suitable for the roles
for which they are considered.
Annex A.7.2 – the objective in
this Annex is to ensure that employees and contractors are aware of and fulfil
their information security responsibilities during employment. During On-board,
the new joiner should be provided proper IS induction.
Annex A.7.3 is about termination and change of
employment. The objective in this Annex is to protect the organisation’s
interests as part of the process of changing and terminating employment.
Annex A.8 – Asset
Management
Annex A.8.1 is about
responsibility of assets. The objective in the Annex is to identity information
assets in scope for the management system and define appropriate protection
responsibilities.
Annex A.8.2 is about
information classification. The objective in this Annex is to ensure that
information receives an appropriate level of protection in accordance with its
importance to the organisation (and interested parties such as
customers).
Annex A.8.3 is about media handling. The objective in
this Annex is to prevent unauthorised disclosure, modification, removal or
destruction of information stored on media.
Annex A.9 – Access
Control
Annex A.9.1 is about access
control of the organisation. The objective in this Annex is to provide limited
access to information and information processing facilities.
Annex A.9.2 is about user
access management. The objective in this Annex A control is to ensure users are
authorised to access systems and services as well as prevent unauthorised access.
Annex A.9.3 is about user
responsibilities. The objective of this Annex A control is to make users
accountable for safeguarding their authentication information.
Annex A.9.4 is about system and application access
control. The objective in this Annex is to prevent unauthorised access to
systems and applications.
Annex A.10 –
Cryptography
Annex A.10.1 is about Cryptographic controls. The
objective of this Annex is to ensure proper and effective use of cryptography
to protect the confidentiality, authenticity and/or integrity of
information.
Annex A.11 –
Physical & Environmental Security
Annex A.11.1 is about ensuring
secure physical and environmental areas. The objective of this Annex is to check
and prevent unauthorised physical access, damage and interference to the
organisation’s information and information processing facilities.
Annex A.11.2 is about equipment. The objective in this
Annex control is to prevent loss, damage and theft or compromise of assets and
interruption to the organisation’s operations.
Annex A.12 –
Operations Security
Annex A.12.1 is about
operational procedures and responsibilities. The objective of this Annex A area
is to ensure correct and secure operations of information processing
facilities.
Annex A.12.2 is about
protection from malware. The objective here is to ensure that information and
information processing facilities are protected against malware.
Annex A.12.3 is about backup.
The objective here is to protect against loss of data.
Annex A.12.4 is about logging
and monitoring. The objective in this Annex A area is to record events and
generate evidence.
Annex A.12.5 is about control
of operational software. The objective in this Annex A area is to ensure the
integrity of operational systems.
Annex A.12.6 is about technical
vulnerability management. The objective in this Annex A control is to prevent
exploitation of technical vulnerabilities.
Annex A.12.7 is about information systems and audit
considerations. The objective in this Annex A area is to minimise the impact of
audit activities on operational systems.
Annex A.13 –
Communications Security
Annex A.13.1 is about network
security management. The objective in this Annex is to ensure the protection of
information in networks and its supporting information processing
facilities.
Annex A.13.2 is about information transfer. The objective
in this Annex is to maintain the security of information transferred within the
organisation and with any external entity, e.g. a customer, supplier or other
interested party.
Annex A.14 –
System Acquisition, Development & Maintenance
Annex A.14.1 is about security requirements of
information systems. The objective in this Annex area is to ensure that
information security is an integral part of information systems across the
entire lifecycle. This also includes the requirements for information systems
which provide services over public networks.
Annex A.15 –
Supplier Relationships
Annex A.15.1 is about
information security in supplier relationships. The objective here is
protection of the organisation’s valuable assets that are accessible to or
affected by suppliers.
Annex A.15.2 is about supplier service development
management. The objective in this Annex A control is to ensure that an agreed
level of information security and service delivery is maintained in line with
supplier agreements.
Annex A.16 –
Information Security Incident Management
Annex A.16.1 is about management of information security
incidents, events and weaknesses. The objective in this Annex area is to ensure
a consistent and effective approach to the lifecycle of incidents, events and
weaknesses.
Annex A.17 –
Information Security Aspects of Business Continuity Management
Annex A.17.1 is about
information security continuity. The objective in this Annex A control is that
information security continuity shall be embedded in the organisation’s
business continuity management systems.
Annex A.17.2 is about redundancies. The objective in this
Annex A control is to ensure availability of information processing facilities.
Annex A.18 –
Compliance
Annex A.18.1 is about compliance with legal and
contractual requirements. The objective is to avoid breaches of legal,
statutory, regulatory or contractual obligations related to information
security and of any security requirements.
There are total 114 ISO 27001 Annex A controls, divided into 14 categories.
The control details and the counts in each sections are furnished below.
Controls
Counts
A.5 Information
security policies
2
A.6 Organisation
of information security
7
A.7 Human
resource security
6
A.8 Asset
management
10
A.9 Access
control
14
A.10
Cryptography
2
A.11 Physical
and environmental security
15
A.12 Operations
security
14
A.13 Communications
security
7
A.14 System
acquisition, development and maintenance
13
A.15 Supplier
relationships
5
A.16 Information
security incident management
7
A.17 Information
security aspects of business continuity management
4
A.18 Compliance
8
Reason controls of ISO 27001 standards start from A.5
The query looks little complicated and people might ask , are there any control starting from A.1. The reason behind is explained as under. In ISO 27002:2005 the audit-able clauses use to start from clause 5 due to which the control started from A.5 and “A” is nothing but the annexure. So in annexure should know about 3 main things that is domain, domain objective and control. Eg : A.5.1.1 A is annexure, 5 is the domain, 1 is the domain objective and 1 is the control.