Microsoft will raise Microsoft 365 and Office 365 prices in July 2026, citing new AI and security upgrades for business and government users.
The post Microsoft to Hike Office Prices in 2026, Citing Major AI and Security Overhauls appeared first on TechRepublic.
Microsoft will raise Microsoft 365 and Office 365 prices in July 2026, citing new AI and security upgrades for business and government users.
The post Microsoft to Hike Office Prices in 2026, Citing Major AI and Security Overhauls appeared first on TechRepublic.
Enterprise Application Integration (EAI) and modern iPaaS platforms have become two of the most strategically important – and resource-constrained – functions inside today’s enterprises. As organizations scale SaaS adoption, modernize core systems, and automate cross-functional workflows, integration teams face mounting pressure to deliver faster while upholding strict architectural, data quality, and governance standards.
AI has entered this environment with the promise of acceleration. But CIOs are discovering a critical truth:
Not all AI is built for the complexity of enterprise integrations – whether in traditional EAI stacks or modern iPaaS environments.
Generic coding assistants such as Cursor or Claude Code can boost individual productivity, but they struggle with the pattern-heavy, compliance-driven reality of integration engineering. What looks impressive in a demo often breaks down under real-world EAI/iPaaS conditions.
This widening gap has led to the rise of a new category: Vertical AI Development Agents – domain-trained agents purpose-built for integration and middleware development. Companies like CurieTech AI are demonstrating that specialized agents deliver not just speed, but materially higher accuracy, higher-quality outputs, and far better governance than general-purpose tools.
For CIOs running mission-critical integration programs, that difference directly affects reliability, delivery velocity, and ROI.
Integrations—whether built on legacy middleware or modern iPaaS platforms – operate within a rigid architectural framework:
Generic coding models are not trained on this domain structure. They often produce code that looks correct, yet subtly breaks sequencing rules, omits required error handling, mishandles transformations, or violates enterprise logging and naming standards.
Vertical agents, by contrast, are trained specifically to understand flow logic, mappings, middleware orchestration, and integration patterns – across both EAI and iPaaS architectures. They don’t just generate code – they reason in the same structures architects and ICC teams use to design integrations.
This domain grounding is the critical distinction.
Teams experimenting with generic AI encounter three consistent frictions:
Generic models cannot retain complex platform context across prompts. Developers must repeatedly restate platform rules, logging standards, retry logic, authentication patterns, and canonical schemas.
A seemingly simple instruction—“Transform XML to JSON and publish to Kafka”—
quickly devolves into a series of corrective prompts:
Developers end up managing the model instead of building the solution.
The cycle of re-prompting, patching, and enforcing architectural rules consumes time and erodes confidence in outputs.
This is why generic tools rarely achieve the promised acceleration in integration environments.
CurieTech AI recently published comparative benchmarks evaluating its vertical integration agents against leading generic tools, including Claude Code.
The tests covered real-world tasks:
The results were clear: generic tools performed at roughly half the accuracy of vertical agents.
Generic outputs often looked plausible but contained structural errors or governance violations that would cause failures in QA or production. Vertical agents produced platform-aligned, fully structured workflows on the first pass.
For integration engineering – where errors cascade – this accuracy gap directly impacts delivery predictability and long-term quality.
The defining capability of vertical agents is single-shot task execution.
Generic tools force stepwise prompting and correction. But vertical agents—because they understand patterns, sequencing, and governance—can take a requirement like:
“Create an idempotent order-sync flow from NetSuite to SAP S/4HANA with canonical transformations, retries, and enterprise logging.”
…and return:
in one coherent output.
This shift – from instruction-oriented prompting to goal-oriented prompting—removes context latency and prompt fatigue while drastically reducing the need for developer oversight.
Integrations live and die by adherence to standards. Vertical agents embed those standards directly into generation:
Generic models cannot consistently maintain these rules across prompts or projects.
Vertical agents enforce them automatically, which leads to higher-quality integrations with far fewer QA defects and production issues.
Organizations adopting vertical agents report three consistent benefits:
Outputs follow correct patterns and platform rules—reducing defects and architectural drift.
Standardized logic and structures eliminate developer-to-developer variability.
Less rework means smoother pipelines and faster delivery.
A recent enterprise using CurieTech AI summarized the impact succinctly:
“For MuleSoft users, generic AI tools won’t cut it. But with domain-specific agents, the ROI is clear. Just start.”
For CIOs, these outcomes translate to increased throughput and higher trust in integration delivery.
The industry is already moving beyond single responses toward agentic orchestration, where AI systems coordinate requirements gathering, design, mapping, development, testing, documentation, and deployment.
Vertical agents—because they understand multi-step integration workflows—are uniquely suited to lead this transition.
Generic coding agents lack the domain grounding to maintain coherence across these interconnected phases.
Generic coding assistants provide breadth, but vertical AI development agents deliver the depth, structure, and governance enterprise integrations require.
Vertical agents elevate both EAI and iPaaS programs by offering:
As integration workloads expand and become more central to digital transformation, organizations that adopt vertical AI agents early will deliver faster, with higher accuracy, and with far greater confidence.
In enterprise integrations, specialization isn’t optional—it is the foundation of the next decade of reliability and scale.
Learn more about CurieTech AI here.
AI-powered cyberattacks are rising fast, and AI firewalls offer predictive, adaptive defense—but their cost, complexity and ROI must be carefully justified as organizations weigh upgrades.
The post Are AI Firewalls Worth the Investment? appeared first on Security Boulevard.
Enterprise GenAI success depends on more than models—security, observability, evaluation, and integration are critical to move from fragile pilots to reliable, scalable AI.
The post Securing GenAI in Enterprises: Lessons from the Field appeared first on Security Boulevard.
In this Article about what industries can gain value from cryptocurrency coin integration? Read it out.
The fast development of blockchain technology has presented fresh opportunities to companies in different industries. The implementation of cryptocurrency coins in the conventional systems can be one of the most revolutionary innovations in this domain.
Crypto coin integration is assisting industries to become more efficient, less expensive, and global across a wider spectrum, as a result of faster payments, transparent transactions, and more.
A cryptocurrency coin is a computer-generated asset that is supported by a blockchain network, like Bitcoin, Ethereum, or Binance Coin. Coin is the native currency of their ecosystem as opposed to tokens, which rely on other networks.
They may be utilized to make payments, stakes, governance, and smart contract executions. When such coins are integrated into industry, it will allow the business to benefit in terms of secure, borderless and transparent financial transactions. If do you have intrested in cryptocurrency coin development, just visit it out.
Finance and Banking
Fintech companies and banks are embracing the use of cryptocurrency coins to accelerate cross-border transactions and reduce transaction costs. Cryptocurrencies based on blockchains do not require any intermediaries, and international payments can be made much quicker, less expensive, and safer.
E-Commerce and Retail
Cryptocurrencies are now being adopted as digital currencies in e-commerce platforms. This enables the merchants to access foreigners, avoid the high processing rates and provide an easy checkout service with immediate payments.
Gaming and Entertainment
Cryptocurrency coins have found use in the gaming industry in terms of in-game purchases, NFT trading and player rewards. Incorporation of crypto coins will maximize user interest and establish decentralized gaming economies whereby users own their assets.
Real Estate
By integrating crypto coins, real estate companies will be able to execute tokenized property deals that are much easier to transfer assets and enhance transparency. Purchasers and vendors can finalize transactions with the help of stablecoins or native blockchain coins, which reduces time loss and intermediaries.
Healthcare
Cryptocurrency coins and blockchain solutions are used in the healthcare sector to guarantee secure storage of patient data, transparent billing, and fast cross-border payments on the medical activities. Microtransactions in telemedicine and health data sharing are provided in the form of coins.
Travel and Hospitality
Cryptocurrency is able to lead to payments that enable travelers to reserve trips, accommodations, and activities around the globe without worrying about currency changes or transaction time. Cryptocurrency payments are already conveniently offered on such platforms as Travala.
Supply Chain and Logistics
Blockchain coins assist the businesses in tracing the goods in real time and validate the transactions in an open way. Introduction of coins into logistics mechanisms curbs fraud, enhances accountability as well as facilitating easy international trade settlements.
Integration of cryptocurrency coins is not a far-flung concept anymore, it is an emerging reality in industries. In finance to healthcare and e-commerce, companies are opening up new dimensions of efficiency, transparency and trust.
With the current development of blockchain technology, industries that use cryptocurrency coins today will be the giants of the digital economy tomorrow.
What Industries Can Gain Value from Cryptocurrency Coin Integration? was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.
WitnessAI Delivers Security for the AI Era In the AI era, innovation is moving fast. Unfortunately, this means that the risks associated with this movement are too. Malicious activities like...
The post Innovator Spotlight: WitnessAI appeared first on Cyber Defense Magazine.
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The post Innovator Spotlight: Skyhawk Security appeared first on Cyber Defense Magazine.
Security’s Silent Revolution: How StrikeReady is Transforming SOC Operations Security operations centers (SOCs) have long been the unsung heroes of cybersecurity, battling endless alerts and wrestling with fragmented toolsets. But...
The post Innovator Spotlight: StrikeReady appeared first on Cyber Defense Magazine.
Developing and updating software using an agile methodology has become increasingly popular and indeed has benefits compared with a traditional waterfall approach, including productivity efficiencies, flexibility and continuous improvement. But when it comes to validating software security, agile methodology also presents challenges.
With an agile Software Development Life Cycle (SDLC) also comes concurrent workflows, adjusting goals and frequent deliverable changes. Predictable static security testing methods that may have been suitable for a waterfall approach quickly fail to keep pace in a more dynamic agile SDLC.
To meet this challenge, we have partnered with Jira, the leading software development tool used by agile teams, to make continuous security validation an integrated part of the SDLC. Synack continuously tests application security throughout the development and update phases, so vulnerabilities can be discovered earlier in the life cycle even as the projects are frequently changing. Unlike traditional static security testing approaches, which run infrequently and with rigid scope, our security testing runs continuously with dynamic and open scope.
We offer insights and intelligence by delivering reports of exploitable vulnerabilities discovered through our premier security testing platform that seamlessly integrates the adversarial perspective of the world’s elite community of security researchers, the Synack Red Team (SRT), with our continuous scanning technology.
Our approach combines machine intelligence to surface well known and suspected vulnerabilities, with human expertise for open vulnerability discovery and detailed reporting about actual exploitable gaps in application security. The SRT provides specific recommendations to fix vulnerabilities and will retest as the software team applies patches. In this manner, software security posture can be continuously validated and improved throughout the SDLC rather than waiting until vulnerabilities manifest themselves late in the development process or worse yet, after being released to production.
Sample security vulnerability ticket in Jira
The Synack App for Jira integrates Synack vulnerability findings with SDLC workflows so that security issues can be remediated more effectively and efficiently. By integrating Synack and Jira instances, we’ve removed the inefficiencies that come with vulnerability management and software development being independent, unintegrated workflows.
Any time new vulnerability findings are reported by the Synack Platform, it will also populate automatically within the associated Jira Project based on predefined configurations and field mappings. Anytime you make a status update on the Synack Platform or on Jira, the change will be synched to both platforms, allowing your security and development teams to see the same information concurrently and to track progress until the issue has been fixed.
Finally, security comments are synched to the Jira project so that all participants in the SDLC have access to the finding details, even if they don’t have direct access to security tools. Armed with real-time security findings your agile team can make course corrections immediately, before the problems compound and escalate.
Mapping between status changes in Synack and Jira
You can access Synack’s App for Jira in a free, simple, and easy way. It’s a plug-and-play App that seamlessly installs on your existing Jira subscription and can be configured to work with your Synack Platform subscription within a matter of minutes. The Synack App for Jira is supported for on-premise (server and data center) and cloud instances of Jira.
For more information, see the Atlassian marketplace listing or read our solution brief. Contact our tech alliance team for further information technologypartners@synack.com.
The post Making Security Testing Part of Your Agile Software Development Life Cycle appeared first on Synack.
ServiceNow, a leading provider of management tools for security and IT operations, has joined forces with Synack to help Security Operations Center (SOC) operators spot and correct gaps in vulnerability detection and protection.
Enterprises rely on ServiceNow to monitor, manage and respond to security incidents from across their hybrid infrastructure. By cohesively gathering, correlating and remediating incidents originating from their wide spectrum of security defenses, ServiceNow improves an enterprises’ SOC workflows, efficiency and effectiveness.
Although a SOC’s defenses, led by their ServiceNow implementation, can be best-in-class, they are, by nature, reactive to vulnerabilities and breach attempts as they occur. Offensive security testing allows an enterprise to proactively evaluate effectiveness and proper configuration of security defenses and spot and correct gaps in vulnerability detection and protection before actual attacks occur.
Traditional approaches to security testing include yearly compliance audits and pentests which, while necessary, are not dynamic enough to test defenses against new vulnerabilities that may surface at any time. At the same time, requiring SOC staff to proactively test security defenses on a continuous basis has historically been impractical and too costly.
To address this challenge, Synack’s Premier Security Testing Platform leverages the power of our automated smart scanning combined with human triage and pentesting by the Synack Red Team (SRT). The SRT is our expert, vetted community of 1,500+ security researchers available on demand to test against new exploits. Using Synack testing, SOCs receive confirmed reports of exploitable vulnerabilities along with recommendations for remediation.
Synack’s certified integration with ServiceNow Vulnerability Response Management allows enterprises to manage exploitable vulnerabilities discovered by Synack as part of their established workflows and processes in ServiceNow. Using the Synack integration, the entire lifecycle of offensive testing and security gap remediation is managed from within ServiceNow, streamlining SOC efficiency and responsiveness to emerging threats.
The addition of Synack to ServiceNow offers the following capabilities:
How Synack complements and optimizes a ServiceNow-managed SOC:
To learn more about the ServiceNow and Synack partnership, visit our ServiceNow partner page.
The post Optimize Your SOC with ServiceNow and Synack appeared first on Synack.
In the cyber realm, organizations are often running their defensive and offensive security operations with little coordination.
Defensive security techniques, such as firewalls, endpoint detection and response, network access control, intrusion prevention and security information event management, detect and stop attackers. While offensive security offers a way to test the effectiveness of cyber defenses, including techniques and tools such as red teaming, penetration testing, vulnerability assessments and digital reconnaissance. Too often organizations focus on defensive security and not enough on offensive security testing.
By design, security offense and defense teams work separately, with the red team or pentesters probing the attack surface looking for weaknesses, much like malicious hackers might. Without consistent and frequent communication between the two, the defense won’t know where to make improvements.
Security Operations Centers (SOC) focus on defensive cybersecurity. SOCs use many defensive security tools, as such they need a single pane of glass to view and correlate the data points coming from each source. Splunk Enterprise and Splunk Cloud (Splunk) are data platforms at the center of security operations that provide insights across disparate data streams to achieve end-to-end visibility for SOCs. Often missing are the results of offensive security testing into the SOC’s single pane of glass.
To combine offensive security data, Synack offers an add-on app for Splunk, allowing the SOC to view, correlate and receive alerts for the results of offensive security tests and recommended fixes to their defensive security in real time.
When information about security flaws isn’t accessible by the SOC, vulnerabilities and exploits uncovered by offensive security testing are reviewed only occasionally (e.g. in conjunction with periodic events such as yearly security compliance audits). New types of threats appear daily, so an occasional review isn’t sufficient to maintain good security posture. However, given the opportunity, Splunk’s architecture can ingest dynamic offensive security testing results and make such results actionable by security leaders.
An organization’s defenses can, and should, be tested against the latest security threats, not just the ones needed to pass a yearly compliance audit.
Synack helps address these challenges by offering a premier security testing platform, supported by an expert, vetted community of security researchers who run continuous vulnerability assessments and deliver on-demand pentesting as new exploits emerge. The Synack Red Team (SRT)—1,500+ members strong—allows customers to take advantage of a diverse and instantly scalable security talent pool without the overhead of static headcount to accommodate surges in testing demand. Customers get offensive security testing 365 days a year with actionable reports to empower them to tackle new risks as they occur.
The Synack integration with Splunk uncovers exploitable vulnerabilities that can be correlated with network traffic, logs and other data collected by Splunk to recommend more effective security policies and rules on defensive tools (e.g. intrusion prevention systems and web application firewalls). Progress to harden an organization’s attack surface can be made by reviewing results, verifying recommendations and patching fixes (which can be verified by the SRT). The integration automates this process by facilitating continual improvement in security posture.
With the integration between Synack and Splunk, organizations can seamlessly coordinate offensive security into their SOC, enabling continuous defensive improvement in cyber security posture and protection. Splunk and Synack help all your team members work from the same playbook.
To learn more about Synack’s premier security testing please visit our website, to learn about Splunk see their site and to access the Synack Integration with Spunk please visit the Splunkbase.
The post Splunk and Synack Partner to Bring Both a Defense and Offensive Strategy appeared first on Synack.
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