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Vertiv Helps Enterprises Move from AI Pilots to Production

Bangalore, October 2026 : New deployment guide, informed by Vertiv and STL Partners research, helps organizations determine their AI archetypes and where the supporting infrastructure should be locatedWorkload-based approach connects business requirements to right-sized infrastructure models and reference designs to reduce deployment risksHoldings Co. (NYSE: VRT), a global leader in critical digital infrastructure, and Deloitte Center for Integrated Research introduced a collaboration to help enterprises address a critical challenge in moving artificial intelligence from experimentation to production: determining where AI workloads should run and whether the available physical infrastructure can support them.The new Vertiv Designing Infrastructure for Enterprise AI Guide, developed by Vertiv and STL Partners, a digital infrastructure research firm, provides business, IT and facilities leaders with a workload-based framework for making those decisions before committing to an infrastructure plan. Starting with the intended business outcome and AI workload, organizations can evaluate deployment location, infrastructure requirements and facility readiness, then align each workload with an appropriate physical infrastructure model and reference design for further planning and technical validation.The underlying research highlights a critical consideration as enterprises move AI workloads into sustained production: infrastructure readiness can determine where workloads can be deployed and how quickly they can move into production. Available power, cooling, connectivity and operational capacity can determine whether a workload can be supported in an existing facility or requires a different deployment model.The guide translates these considerations into a four-step process: (1) define the intended business outcome and AI workload, (2) evaluate the workload’s scale, performance and operating requirements, (3) determine the most appropriate deployment location and (4) match the workload and location to a physical infrastructure model and reference design.“The next phase of enterprise AI will be shaped not only by models and computing, but also by whether organizations can provide the power, cooling, connectivity and operating environment each workload requires,” said Giordano Albertazzi, CEO of Vertiv. “By starting with the workload, enterprises can make infrastructure decisions earlier, identify constraints sooner and build a more credible path from AI ambition to production.”“The economics and operating requirements of AI change as workloads move into production,” said Nicholas Merizzi, principal, Silicon2Service U.S. Lead, Deloitte Consulting LLP. “Organizations need to consider business value, governance, operating ownership and infrastructure together. Bringing those questions into the planning process earlier gives leaders a stronger basis for deciding where AI workloads should run and how they should be supported over time.”The process recognizes that enterprise AI is a portfolio of workloads rather than a single infrastructure decision. Exploratory workloads may remain in the cloud, while sustained or business-critical workloads may favor hybrid infrastructure or capacity managed by the enterprise. Workloads requiring faster response times, greater control, data proximity or specific model performance may need to run at the edge or in another controlled environment.The workload-specific approach allows public cloud, colocation, enterprise-owned capacity, hybrid environments and edge infrastructure to each play a role. Rather than advocating broadly for or against the cloud, the guide provides a consistent method for determining the appropriate operating environment for each AI workload.The research categorizes enterprise AI workloads into six archetypes covering model development, retraining and four categories of production use. These archetypes help organizations identify workloads with similar performance, operating and infrastructure requirements, creating a more consistent basis for planning. Each workload can then be aligned with one of four physical infrastructure models: Edge AI Cluster, Small AI Cluster, Large AI Cluster and High-Density AI Cluster.The four models provide a starting point for decisions involving power, cooling, controls, connectivity, resilience, operational support and future growth. Corresponding reference designs can then be adapted based on site assessment, workload requirements and detailed engineering.Facility readiness is critical across all four models. The guide helps enterprises evaluate whether a proposed location has sufficient power, cooling, connectivity, operational capacity and room for growth. Conducting this assessment early can help identify infrastructure constraints before they become barriers to deployment.The full guide, Designing Infrastructure for Enterprise AI, details the six workload archetypes, four physical infrastructure models and a four-phase roadmap for planning, deploying and evolving enterprise AI infrastructure. It is available at Vertiv.com.# # #About VertivVertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.Forward-looking statementsThis release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27 of the Securities Act, and Section 21E of the Securities Exchange Act. These statements are only a prediction. Actual events or results may differ materially from those in the forward-looking statements set forth herein. Readers are referred to Vertiv’s filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and any subsequent Quarterly Reports on Form 10-Q for a discussion of these and other important risk factors concerning Vertiv and its operations. Vertiv is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements, whether as a result of new information, future events or otherwise.

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The AI Readiness Illusion: 86% of Organizations Say Data Concerns Delay or Derail AI Projects

Bangalore, October 2026 : New Iron Mountain research finds businesses are pushing towards greater AI autonomy without the trusted, well-governed information needed to scale4 in 10 organizations spend at least 41% of their AI project timelines on manual data preparation, while only 39% fall into the report’s ‘digitized and structured’ category, where dark data is centrally managed, indexed and readily usable for analytics and AI.Fragmented and legacy information remains a major barrier. 56% of organizations cite information spread across disconnected systems or departmental silos, while 53% point to legacy formats or physical archives.70% of organizations say they cannot effectively track the lifecycle (origin or journey) of the data used in their AI models.New research from Iron Mountain (NYSE: IRM), a global leader in information management services, reveals a growing gap between AI ambition and readiness as businesses move towards more autonomous AI.Published in Iron Mountain’s new report, The Information Supercycle: Aligning Data, Infrastructure and Capital for AI Scale, the findings show that while 95% of organizations say using data to improve business outcomes is a top priority, 86% have experienced AI project delays or cancellations because of data concerns in the past 12 months.The scale of work still required to make information usable for AI remains significant. 4 in 10 organizations spend at least 41% of their AI project timelines on manual data preparation, while only 39% fall into the report’s ‘digitized and structured’ category, where dark data is centrally managed, indexed and readily usable for analytics and AI.Fragmented and legacy information remains a major barrier. 56% of organizations cite information spread across disconnected systems or departmental silos, while 53% point to legacy formats or physical archives.Those gaps become more consequential as businesses move beyond generative AI towards agentic systems capable of acting across workflows. 70% of organizations say they cannot effectively track the lifecycle (origin or journey) of the data used in their AI models.Varun Gupta, Senior Vice President, Global Product & Solutions Marketing at Iron Mountain, said: “AI readiness is about much more than deploying the latest technology. Enterprises need to know that the information powering their AI is accessible, current and governed, with clear ownership and permissions. As AI agents move from generating answers to taking actions across business workflows, these foundations become essential to scaling AI with confidence.”As AI begins to make and act on more decisions, the consequences extend beyond poor outputs. Fragmented information can create security exposure, compliance and audit risk, higher discovery costs and loss of institutional knowledge. Organizations need continuous lifecycle governance that gives them a clear, auditable view of information from creation to destruction, helping verify the data activated for AI is current, compliant and trusted.###Read Iron Mountain’s new report: The Information Supercycle: Aligning Data, Infrastructure and Capital for AI ScaleAbout Iron MountainIron Mountain Incorporated (NYSE: IRM) partners with more than 240,000 customers across 61 countries, including approximately 95% of the Fortune 1000. We serve as the trusted guardians of what matters most, helping unlock what’s possible. By connecting physical, digital, and intelligent workflows, our lifecycle solutions help organizations realize enterprise value at scale. From complex challenges across information management and digital transformation to data security, data centers, and asset lifecycle management, we empower organizations to navigate an ever-changing landscape to prepare for tomorrow’s possibilities. Our longstanding commitment to safety, security, sustainability, and continuous innovation defines everything we do.To learn more about Iron Mountain, please visit www.IronMountain.com.

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Gartner Survey Finds Only 13% of CIOs Say Their Enterprise Has Realized Significant or Transformational Value from AI

Bangalore, October 2026 : CIOs Must Strive to be Vanguards, a Cohort That Delivers Better Business Outcomes While Also Reporting High CEO-Perceived AI ValueORLANDO, Fla., October 22, 2026 — Only 13% of CIOs reported their enterprise has realized significant or transformational value from AI so far according to Gartner, Inc., a business and technology insights company. While AI use cases have accelerated over the past two years, the likelihood of use case success remains one-in-five.Alicia Mullery, VP Analyst at Gartner, said, “Volume is not value. AI is creating a reckoning for organizations that lack fundamental disciplines, such as defining use-case value ahead of time and establishing criteria for when to walk away.”The Gartner 2027 CIO and Technology Executive Agenda survey of 2,002 CIOs and technology executives from May to July 2026 found that vanguards, defined as CIOs who are delivering better performance on business outcomes while also reporting high CEO-perceived AI value, are more likely to establish stopping rules at two points in the lifecycle: pilots and production. Defining these guidelines becomes essential as organizations rapidly transition from initial experimentation to active deployment across GenAI, traditional AI and AI agents.Organizations with guidelines for determining when an AI pilot should not move to production are 2.3 times more likely to be vanguards, while those with guidelines for abandoning low-value AI initiatives already in production are 2.6 times more likely to be vanguards. However, only 31% and 17% of CIOs, respectively, reported having these practices in place.“Establishing and adhering to these criteria is a team sport,” said Mullery. “CIOs need business partners who are willing and ready to walk away from low value investments.”CIOs Must Be Responsible for AI Economic StewardshipFunding for AI is increasing, and 58% of CIOs said they have increased pressure to deliver cost improvement from AI. At the same time, 51% of CIOs expected AI to increase the total cost of ownership of technology solutions (see Figure 1). CIOs need to help their organizations govern AI economics across the full lifecycle, not simply approve an initial technology purchase.Figure 1: Changes in Technology Funding, 2026 to 2027“Many organizations continue to apply funding and governance models designed for traditional technology investments such as cloud and SaaS,” said Mullery. “Unlike traditional technology costs, which are largely predictable, AI costs are probabilistic and determined at run time. As enterprise technology funding shifts towards GenAI and agentic AI while investments in legacy infrastructure contract, CIOs will need new approaches to funding, governance and cost accountability.”CIOs Must Bridge the IT Workforce Gap by Expanding What Humans DoOrganizations with explicit plans to redesign roles for a human-agent workforce are 2.4 times more likely to be vanguards, yet a significant execution gap exists, as only 4% of CIOs reported having such plans in place.“While many leaders assume AI will primarily serve to reduce technology headcount, the true vanguard differentiator lies in workforce redesign,” said Mullery.This workforce transformation provides the essential foundation for understanding headcount trends: as AI lowers the cost and effort required to produce technology, overall demand for technology work actually increases. This creates a dual workforce shift where IT headcount can grow, with 40% of respondents expecting to increase IT headcount in 2027, particularly in cybersecurity and data and analytics (see Figure 2), while roles simultaneously compress and expand.Figure 2: Expected Changes in Headcount within IT Functional Sub-teams Within 12 Months (Percentage of Respondents)“Rather than maintaining static job definitions, Vanguards recognize that as AI takes on specialized tasks, the boundaries between established technology jobs begin to blur,” said Mullery. “For example, designers can increasingly perform testing activities, while testers participate in design. Consequently, organizations will require fewer distinct role types, even as the span of responsibility within each role expands.”Additional Insights AvailableGartner clients can read more in Bridging the AI Trough: 3 Gaps To Close for the 2027 CIO and Technology Executive Agenda.Non clients can learn more here.Gartner is the World Authority on AIGartner is the indispensable partner to C-Level executives and technology providers as they implement AI strategies to achieve their mission-critical priorities. The independence and objectivity of Gartner insights provide clients with the confidence to make informed decisions and unlock the full potential of AI. Clients across the C-Level are using Gartner's proprietary AskGartner AI tool to determine how to leverage AI in their business. With more than 2,500 business and technology experts, 6,000 written insights, as well as more than 4,000 AI use cases and case studies, Gartner is the world authority on AI. More information can be found here.Gartner IT Symposium/XpoGartner IT Symposium/Xpo is the world's most important gathering for CIOs and other IT executives. CIOs and IT executives rely on these conferences to learn how to become agents of change in their organizations and harness AI for successful digital transformation. Follow news and updates from the conference on X and LinkedIn using #GartnerSYM, and on the Gartner Newsroom.Upcoming dates and locations for Gartner IT Symposium/Xpo include:November 4-6, 2026 | Yokohama, JapanNovember 9-12, 2026 | Barcelona, SpainNovember 16-18, 2026 | Kochi, IndiaAbout Gartner for IT LeadersGartner for IT Leaders provides actionable, objective insight to CIOs and IT leaders to help them drive their organizations through digital transformation and lead business growth. Additional information is available at www.gartner.com/en/information-technology.Follow news and updates from Gartner for IT Leaders on X and LinkedIn using #GartnerIT. Visit the IT Newsroom for more information and insights.About GartnerGartner (NYSE: IT) delivers actionable, objective business and technology insights that drive smarter decisions and stronger performance on an organization's mission-critical priorities. To learn more visit gartner.com.

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HyperVerge Becomes First Indian Identity Verification Provider to Pass Independent PAD Level 3 and Deepfake Injection Attack Evaluation

Bangalore, October 2026 : In addition to IAD level 2, company also clears ISO/IEC 30107-3 PAD Level 3, the highest tier for physical spoof detection, becoming the first Indian provider independently tested against both deepfakes and masksHyperVerge, a leading AI-powered customer onboarding and fraud prevention company, today announced that it has become the first and only company in India successfully passed evaluation under European CEN/TS 19099 standard for Injection Attack Detection (IAD -Level 2). At the same time, the company also passed the ISO/IEC 30107-3 Presentation Attack Detection (PAD) Level 3 evaluation, the highest level in the standard. This dual achievement makes HyperVerge the only Indian digital identity technology provider with independent, third-party verification proving its systems can stop both advanced physical face spoofs and digital deepfakes.Fraudsters have traditionally tried to fool identity systems by holding photos, masks or altered documents in front of a camera. Injection attacks bypass the camera altogether: the attacker uses a virtual camera, a rooted phone, an emulator or a hooked function to push a manipulated image or video directly into the onboarding system, so that a deepfake appears to come from a real customer completing a live check.Presentation attack detection, tested under ISO/IEC 30107-3, covers the first class. Level 3 is its most demanding tier: evaluators have days and a budget to build custom silicone masks and sculpted artefacts for specific targets. Injection attack detection, tested under CEN/TS 18099, covers the second. CEN/TS 18099 was published by the European Committee for Standardization in 2024 and is now referenced for remote identity proofing under eIDAS 2.0. ISO/IEC 30107-3 has been the international benchmark for presentation attack testing since 2017. Together they are the two published frameworks a liveness system can be independently measured against.Independent evaluations like the one HyperVerge has achieved against global and European standards offers risk, security and compliance leaders verifiable proof of system defense.This matters in India because banks, NBFCs, fintech companies and insurers onboard millions of customers remotely, and the cheapest way to defeat a video-KYC journey is no longer a mask. It answers the most important question on the minds of BFSI leaders, “How good is the technology against fraud prevention?” HyperVerge cleared both global standards with results well within thresholds. This ensures injection attacks and deepfakes are stopped while genuine users get great customer experience.“Attackers don’t stick to one fraud playbook. They may use physical masks in one instance and AI generated identities or manipulate video in another,” said Kedar Kulkarni, Co-founder and CEO of HyperVerge. “These independent evaluations give banks, financial institutions, insurers and fintech companies objective evidence of how our technology performs against sophisticated attacks, while maintaining a seamless experience for genuine users. We will continue to invest in fraud prevention so legitimate customers can access financial services quickly while bad actors face stronger barriers.”What exactly do these certifications test for and how rigorous are the tests?A third-party laboratory BixeLab in Australia evaluated HyperVerge’s defenses against fraud attacks against European standards through hundreds of genuine and fraudulent attempts across Android, iOS and web development kits. The testing covered attacks involving virtual cameras, USB capture devices, deepfake and face-swap videos. The evaluation followed CEN/TS 18099, a technical specification designed to test whether biometric systems can identify manipulated data injected during digital verification.The certification independently verifies HyperVerge’s ability to detect attacks that use deepfakes, face swaps, virtual cameras and other methods to insert manipulated identity data into a digital onboarding journey.Additionally, the ISO/IEC 30107-3 PAD Level 3 evaluates biometric systems against sophisticated presentation attacks. Testers spend days crafting hyper-realistic 3D presentation attack instruments like medical-grade silicone masks, latex coverings, wax molds and customized sculptures. They tune these artifacts to mimic human skin texture, facial depth and light reflectivity then manipulate ambient light, contrast, angles and device orientations to maximize the realism of every attempt.This balance is important for financial institutions. Security systems that miss attacks expose organizations to fraud. Systems that frequently reject genuine customers cause delays, increase manual reviews and drive people away during onboarding.“BixeLab’s evaluators approached our system the way a well-resourced attacker would. They rooted a device and concealed the root, decompiled and hooked our SDK to intercept the camera feed, and injected deepfake and face-swap video through virtual cameras and emulators across Android, iOS and web,” said Hariprasad PS, Head of AI at HyperVerge. “HyperVerge recorded a 0% false acceptance rate on both evaluations: not one deepfake, injected video or physical artefact was accepted as genuine. On the presentation attack test, every genuine user was verified, a 0% user-level false rejection rate. This outcome reflects several years of work on the capture layer itself.”How this ties to HyperVerge’s mission to reduce financial fraudFor HyperVerge, the certification marks another step in its effort to build trusted identity infrastructure from India for organizations around the world.HyperVerge builds its identity verification and fraud prevention technology in-house. Its AI models support face matching, liveness detection, deepfake detection, document verification, identity duplication and other checks that help organizations distinguish genuine customers from fraudulent ones. HyperVerge designs its technology to work in real time, including on low-end devices and low-bandwidth networks.“Every fake identity that enters the financial system creates a problem that banks must investigate later,” Kedar Kulkarni added. “Stopping that identity during onboarding protects the institution, its customers and the wider financial ecosystem.”Note to the EditorHyperVerge has processed 2 billion transactions on its platform so farThe platform has detected and stopped 55 million fraud attempts till dateHyperVerge serves 500+ customers today, in geographies such as India, US, Vietnam, Indonesia, Philippines, Singapore, Nigeria, and Malaysia.Revenue grew 21.16% year on year in FY26, up from 15.12% in FY25 and following 38.99% in FY24.Active customer count grew 5.27%, 40.65%, and 65.20% over the same three years, pointing to deeper expansion within the existing base.About HyperVergeHyperVerge is an AI-first identity verification and fraud prevention platform that helps banks, NBFCs, fintechs, insurers, and digital platforms onboard real customers in seconds while stopping deepfakes, synthetic identities, and fraud before they get in. HyperVerge's models run in real time even on low-end devices and low-bandwidth networks. The company has crossed 2 billion verifications. Their key customers include L&T Finance, IIFL Finance, AngelOne, Groww, Swiggy, Home Credit, Aditya Birla Health Insurance, and Suryoday Small Finance Bank, etc. HyperVerge is headquartered in India with a growing footprint across Southeast Asia and the United States.

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53 OpenJDK Vulnerabilities Disclosed Today Set an All-Time High; Azul Patches Them All

Bangalore, October 2026 : Azul’s Security-only, Stability-first™ updates can be deployed immediately to counter the speed of agentic AI threatsAzul, the trusted leader in enterprise Java for today’s AI-first world, today released its October Security-only, Stability-first™ updates for Azul Core that are immediately deployable to address all 53 vulnerabilities disclosed in the latest OpenJDK quarterly update. Azul’s Security-only, Stability-first updates contain security fixes and nothing else: no new features, enhancements or unrelated changes that can cause problems. The number of vulnerabilities disclosed in this quarter’s OpenJDK release is the most in a single update in well over a decade and 7x greater than the two-year average of 7.6 Common Vulnerabilities and Exposures (CVEs) per quarter.OpenJDK quarterly updates that include the fixes to these CVEs also include more than 150 code changes unrelated to security. Azul is the only vendor to offer both monthly and quarterly updates scoped to just security fixes. Enterprises can deploy Azul’s Security-only, Stability-first updates to production immediately and safely to remediate critical vulnerabilities. Other OpenJDK distributions bundle non-security bug fixes, enhancements and even features in their updates, often causing regressions. While such regressions may get fixed with follow-on updates, they can significantly delay the deployment of urgent security fixes.AI Is Exposing Flaws and Enabling Exploits Faster than EverCSO recently reported that researchers using an AI tool found a 13-year-old remote code execution flaw in Apache ActiveMQ in about 10 minutes. Two weeks after disclosure, nearly 6,500 internet-facing instances were still unpatched. In a case documented by GreyNoise, a suspected attacker used hundreds of AI agents to chain two zero-day flaws in PaperCut NG/MF, going from an empty workspace to remote code execution in under four hours. The agents ultimately reached at least 440 instances across 395 organizations in 48 countries, with full domain administrator control in seven minutes.Java has been running mission-critical systems for more than 30 years, making it one of the most battle-tested platforms in enterprise computing. But AI is now exposing flaws that survived years of testing and review. Researchers are using it to uncover vulnerabilities in decades-old code, while threat actors use agentic AI to find and exploit them at a speed and scale never seen before. Because the vast majority of enterprises rely on Java for production applications and infrastructure, the impact will be felt in every industry and region. And the risk is immediate, for three reasons:The skill barrier is falling. AI lets less-skilled attackers do work that once required experts.Attackers are outpacing defenders. Mean time to exploit (MTTE) has shrunk to -7 days, meaning exploitation often begins before a patch is available, while the median enterprise patch cycle is 43 days.It is no longer safe to delay addressing low-severity CVEs. AI can chain even low-severity CVEs into effective and significant attacks, multiplying the number of exploitable paths.Enterprises’ Patch Deployment Cycles Have Not Kept Pace With AI-Speed AttackersIn the past, it may have been acceptable to wait weeks or months for stable, regression-free security updates before addressing known vulnerabilities – that timeline no longer works. Attackers are moving faster. The U.S. Cybersecurity and Infrastructure Security Agency (CISA) maintain a Known Exploited Vulnerabilities (KEV) catalog that lists flaws confirmed to be under active attack. According to Azul’s analysis of that catalog, 61% of vulnerabilities published in 2025 that were later exploited were added within 30 days of public disclosure. The true share is likely higher: the figure excludes the roughly one in four exploited vulnerabilities already listed on or before disclosure day, and CISA typically lists a flaw only after exploitation has begun. For most exploited vulnerabilities, the window between disclosure and attack is now measured in days, not weeks or months.Security-Only, Stability-First Updates Ready for Immediate DeploymentAzul is the only vendor to offer Security-only, Stability-first quarterly, monthly and out-of-cycle OpenJDK updates, which contain only security fixes, with no new features or unrelated bug fixes. These are built on the previous quarter’s stabilized full patch update, which Azul and the broader Java community have already tested extensively. With changes limited to security fixes only, the potential surface for regression is dramatically reduced. Since 2020 , more than 20% of OpenJDK quarterly updates included regressions that prevented their timely rollouts. During that same time, no security-only updates from Azul have had deployment-preventing regressions, and Azul customers were able to deploy straight to production in rapid manner. In addition, Azul delivers monthly, Stability-first Critical Security Patch Updates (CSPUs) layered on the existing security-only quarterly update, a capability no other Java vendor or OpenJDK distribution offers.Prior OpenJDK quarterly updates have included regressions as serious as breaking application access to all Google APIs, corrupting Tomcat HTTP content and breaking Hadoop deployments. Enterprises that relied on other OpenJDK distributions had to choose between customer impact and security. In contrast, Azul customers that deployed the Azul Core security-only update did not have to choose and were able to deploy immediately, safely and securely.Azul Core is a Java SE-compliant build of OpenJDK that is certified with the Technology Compatibility Kit (TCK). Azul Core is a drop-in replacement for Oracle Java and other Java SE-compliant distributions. Azul Core subscribers get monthly and quarterly security-only updates, quarterly full updates and out-of-cycle fixes as needed for every LTS release (8, 11, 17, 21, 25)Many enterprises also still run Java 6 and 7, an exposure in the age of AI-driven attacks. Azul is the only vendor that provides backported security fixes for these versions, extending the same monthly security cadence to organizations still running older Java in production.Azul Partners Can Help Customers Close the Exposure WindowAzul’s resellers and security services delivery partners are able to help their customers manage and remediate the quickly growing number of threats by taking the October update to security-conscious customers now. Resale and services for the Security-only, Stability-first updates are included in current Azul Core channel pricing.Closing the Gap Between Disclosure and Deployment“The record number of vulnerabilities in one OpenJDK update is a very real warning to all enterprises running their business-critical workloads on Java. AI has collapsed the time between disclosure and exploitation from weeks to days to hours, and attackers are chaining flaws that defenders used to rank as low priority,” said Scott Sellers, co-founder and CEO of Azul. “Enterprises shouldn’t have to choose between security and stability. Azul’s Security-only, Stability-first updates are able to be deployed immediately, so customers can close the exposure window before an attacker finds it first.”Enterprises running Oracle Java, other OpenJDK builds or free Azul Zulu builds in production, or that want to shorten the time it takes to remediate the 53 vulnerabilities disclosed in today’s quarterly update, can get patched with Azul today.About AzulAzul is the trusted leader in enterprise Java for today’s AI-first world. Its open source-based Java platform empowers organizations to optimize the entire Java lifecycle to accelerate performance, strengthen security, reduce licensing and cloud costs, and boost developer productivity. Azul powers mission-critical systems for 37% of the Fortune 100, 50% of the Forbes Top 10 World’s Most Valuable Brands, and the world’s top 10 financial trading companies. Learn more at azul.com and follow @azulsystems.# #

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Schneider Electric and Apple introduce new Smart Thermostat for Apple Home Collection and Power Mount for Apple HomeView

Bangalore, October 2026 :Schneider Electric’s residential energy portfolio continues to expand, built to deliver home energy intelligence.Schneider Home introduces its first Smart Thermostat designed in collaboration with Apple for Apple Home Collection.Schneider Home’s new Power Mount is purpose-built for Apple HomeView (Wall Mounted).Schneider Electric, a global energy technology leader, today announced a new Smart Thermostat, co-developed with Apple for Apple Home Collection, and an exclusive Power Mount for the newly announced Apple HomeView (Wall Mounted). Both products combine Schneider Electric’s expertise in home energy with the Apple Home experience. Homeowners can privately control their energy for even more comfort in Apple Home, furthering Schneider Electric’s mission to bring energy intelligence to the home.Home energy, seamlessly integrated with Apple HomeThe collaboration unites Schneider Electric’s deep domain leadership in energy technology with Apple’s seamless ecosystem and user experience. Together, the two companies are bringing new products – a Smart Thermostat, Room Sensor, and Power Mount for Apple HomeView - that deliver seamless energy management to Apple Home. The products will be available within Schneider Electric’s Schneider Home residential portfolio.•Schneider Home’s Smart Thermostat, co-developed for Apple Home Collection. Through the Apple Home app, Smart Thermostat brings Adaptive Temperature to help homeowners balance comfort, convenience, and energy orchestration. Users can adjust the temperature hands-free using Siri on Apple products. The small metal bezel features a smooth silver finish, blending perfectly in any environment. Its translucent display gives it a soft matte face with no glare, and proximity awareness makes every interaction effortless and gentle on the eyes in a dark room. Built-in sensing plus optional Room Sensors allow the system to sense conditions including temperature and humidity, adapting to the unique needs of users’ homes. Smart Thermostat also works with the Clean Energy Guidance feature from Apple, using EnergyKit to power the grid forecast feature in the Apple Home app.Set up, connectivity, and security have never been better, with effortless tap-to-pair NFC functionality even when Smart Thermostat is not powered, allowing set up in seconds by simply bringing an iPhone nearby. With Matter compliance and Thread, the system remains connected to the home network even during an internet outage. Smart Thermostat and the Room Sensors are also end-to-end encrypted in Apple Home, so only users and the people they choose can access their home data.•Schneider Home’s Power Mount, designed exclusively for Apple’s new Apple HomeView (Wall Mounted). Power Mount’s design is purpose-built for Apple HomeView, offering an elegant wall-mounted installation in three configurations: USB-C Wall Connector; AC Wired; and Power over Ethernet (PoE) Wired. All three Power Mounts feature precision magnets to securely hold Apple HomeView against the wall to stay powered. For a seamless professional installation with no visible wires, the AC Wired Power Mount connects to electrical wiring through a single wall box, and the PoE Wired Power Mount receives power and data through a standard ethernet cable hidden in the wall.“The smartest home is one where every part works together, and that’s only possible through technology that enables energy intelligence,” said Olivier Blum, CEO of Schneider Electric. “Advancing energy tech is the core of Schneider Electric’s mission, and Schneider Home is advancing energy tech in everyday living. Collaborating with Apple brings together smart energy management, exceptional user experience, and seamless home operation with Apple HomeView to make energy feel effortless and help the home perform at its best.”“At Apple, our goal is to deliver great products that make everyday experiences simpler and more enjoyable, with privacy at the core, ”said Matthew Costello, Apple's vice president of Hardware Engineering. “These new products bring Schneider Electric’s deep expertise in energy into Apple Home in a smarter, more thoughtful way. They’re easy to set up, intuitive to use, and designed to work seamlessly with Apple Home — a natural extension of the experience our customers already know and love.”Home energy is becoming more complex, benefiting from different sources of electricity, consuming more power, and operating in a siloed ecosystem across heating and cooling, water heating, EV charging, appliances, and connected devices. Schneider Home brings energy intelligence to the home, with solutions including the Smart Thermostat, EV chargers, circuit breakers, electrical panels, uninterruptable power supply (UPS) and connected wiring devices. Schneider Home represents a vision for how home energy technologies can work together with seamless orchestration, helping homeowners better understand, manage, and optimize their energy use, without compromising comfort, simplicity, or cost.Schneider Electric has a deep legacy in home energy, with its technologies found in 4 out of 10 U.S. homes today. With 190 years of expertise in the home’s electrical panel and delivered through a trusted ecosystem of more than 1 million electricians, installers, builders, and technology partners, Schneider Electric brings energy intelligence to life in a way that feels coordinated, more responsive, and easy to adopt. Learn more about Schneider Home at schneiderhome.com, and more details will be shared at the 2027 Consumer Electronics Show (CES) in Las Vegas.Privacy in Apple HomePrivacy is foundational to Apple Home. Personal data in the Apple Home app is stored end-to-end encrypted and never accessible to Schneider Electric or Apple.Professional installation available at Apple RetailFor customers who prefer to have their smart home accessories professionally installed, Apple Retail now offers third-party installation from ADT for an additional charge, available in the U.S. starting this fall. ADT also leverages the nationwide installer network from Qmerit, backed by Schneider Electric.AvailabilityCustomers in the U.S. and Canada can purchase Smart Thermostat and the accompanying Room Sensors in the Apple Store beginning early next year. Smart Thermostat retails for a suggested MSRP of $199.99; Room Sensor retails for a suggested MSRP of $39.99.Customers in Australia, Canada, India, New Zealand, Singapore, South Africa, the U.K., and the U.S. can order the USB-C Wall Connector and AC Wired Power Mounts for Apple HomeView on Apple.com, with availability in Apple Retail Stores beginning Friday, November 13. Customers can purchase thePoE Wired Power Mount beginning early next year. In India, the AC Wired Power Mount will be coming later. In the U.S., the USB-C Wall Connector Power Mount retails for a suggested MSRP of $59.99; the AC Wired for $79.99; and the PoE Wired for $129.99.*EnergyKit disclaimer on availability and requirements:• Apps. EnergyKit is currently designed for use with EV charging and smart thermostat apps, and requires iOS 26 or iPadOS 26 or later.• Regions. EnergyKit is only available in the contiguous United States.About Schneider ElectricSchneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems, enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies.www.se.com Follow us on: As design expectations continue to evolve, Unica X combines minimalist aesthetics with engineering excellence, offering homeowners a solution that seamlessly blends style with performance.Featuring Schneider Electric's slim design, Unica X offers a 6.5 mm ultra-slim visible profile with a precision-engineered 2 mm metal cover plate. The collection is available in six premium colours Brushed Stainless Steel, Painted White, Jet Black, Dark Grey, Dark Bronze, and Antique Brass and three elegant finishes: Metallic, Ceramic, and Antique Brush to match with their home interiors and design sensibility.Built with precision-crafted CNC-machined metal trims and advanced multi-process colouring technology, Unica X is engineered to deliver a premium finish with lasting durability. The portfolio includes switches, sockets, USB charging solutions, dimmers, communication modules, hotel applications, and accessories, making it suitable for premium residential, hospitality, and commercial projects.Designed to meet international IEC and BS standards, Unica X delivers long-term reliability, with switches tested for over 20,000 operations and sockets for more than 18,000 insertions.With the launch of Unica X, Schneider Electric continues to expand its portfolio of premium electrical solutions that combine design innovation, engineering precision, and dependable performance for modern living spaces, reinforcing its vision of Advancing Energy Tech.To learn more about the Unica X range, visit: https://www.se.com/in/en/work/products/product-launch/local/unica-x/About Schneider ElectricSchneider Electric is a global energy technology leader, driving efficiency and sustainability by electrifying, automating, and digitalizing industries, businesses, and homes. Its technologies enable buildings, data centers, factories, infrastructure, and grids to operate as open, interconnected ecosystems, enhancing performance, resilience, and sustainability. The portfolio includes intelligent devices, software-defined architectures, AI-powered systems, digital services, and expert advisory. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric is consistently ranked among the world’s most sustainable companies.www.se.com Follow us on: Discover the newest perspectives on energy technology on Schneider Electric Insights.

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VapusData Introduces VapusData OS for Governed, AI-Native Enterprise Workflows

Bangalore, Bangalore 2026 :Platform connects existing enterprise systems with AI models and agentic workflowsVapusFin processes more than 2 million documents with 99%+ accuracyNabhik AI enables controlled execution with approvals and human oversightVapusData, an AI data operating system company, has introduced VapusData OS, a decentralised, secure and governed AI Data Operating System designed to help enterprises run AI across the data and systems they already use. The platform connects enterprise data, applications and infrastructure with AI models, data products and agentic workflows, enabling organisations to build and execute AI-powered processes without creating separate environments for every use case.VapusData OS is built around the principle that AI should work within existing enterprise systems, business rules and controls. The platform brings together data connectors, governed data products and lineage, model management, agentic orchestration, workflow automation, applications and APIs, with governance, security, observability and traceability built into the operating layer. One application built on the platform is VapusFin, which automates finance workflows across accounts payable, accounts receivable, reconciliation, taxation, claims, accounting and reporting.VapusFin is already being used in production, having processed more than 2 million documents autonomously, including approximately 100,000 invoices a day for one large retail organisation. Production use cases have recorded 99%+ first-pass extraction accuracy, while one deployment saw the exception rate fall from 18% to 2% and weekly reconciliation effort reduce from 40 hours to 2 hours.Commenting on the launch, Vikrant Singh, CEO and Co Founder, VapusData, said, “We are launching VapusData OS at a point when enterprise AI is moving from experimentation to execution. Businesses have spent years building systems that hold their data, processes and institutional knowledge. The next challenge is making AI work within that environment without compromising control or forcing organisations to rebuild what already works. We believe the future of enterprise AI is not about adding another intelligence layer, but creating an operating environment where AI can understand context, work across systems and act within business rules. This launch is our step towards making that model of enterprise AI practical.”A key part of VapusData OS is Nabhik AI, its agentic execution layer designed to take workflows from trigger to outcome. Agents can extract, validate, reconcile, apply rules, route approvals and write back to enterprise systems, with policy controls, approval checkpoints, human oversight and audit trails built into execution.VapusData OS is designed to work with existing enterprise infrastructure, supporting 50 production connectors across ERP systems, databases, applications and model providers, including SAP, Oracle, NetSuite, Microsoft Dynamics 365, Tally, Zoho Books, QuickBooks and Odoo. It can be deployed across cloud, on-premise and air-gapped environments and holds ISO 9001, ISO 27001, SOC 2 Type II and SLSA Level 3 certifications, alongside GDPR compliance.The platform is being applied across finance, retail, e-commerce, banking and insurance, real estate, logistics, education and cash management. Production deployments include more than 3,000 vendors in automated claims processing, around 40,000 ATMs supported through cash-management reconciliation and approximately 3,000 lease agreements made queryable through document intelligence.About VapusData:VapusData is building a decentralised, secure and governed AI Data Operating System that helps enterprises bring data, systems and AI into a more connected operating environment. Its platform enables governed access to enterprise data and AI models, orchestrates agentic workflows and supports AI-powered applications within defined business controls. VapusData aims to simplify the operational complexity of running data and AI while making governance, compliance and responsible data use continuous rather than periodic. VapusFin, built on VapusData OS, extends these capabilities into finance, while Nabhik AI brings agentic intelligence to multi-step enterprise workflows. The company is focused on helping organisations turn trusted data into informed decisions and measurable business impact. To know more, visit https://vapusdata.ai/

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Healthcare Startup Vitonnix Raises First Institutional Investment Led by Inflection Point Ventures

Bangalore, October 2026 :Round also saw participation from practising doctors and bollywood actors, such as Riteish Deshmukh & Boman Irani, singer Jaspinder Narula and film producer Madhu MantenaVitonnix is a doctor-founded preventive healthcare company behind SubliSpray®, a range of sublingual nutritional sprays developed in the UK and scaled in India.The investment is Vitonnix’s first institutional capital and will fund senior hires, consumer growth, distribution and international expansion.The company has sold millions of bottles and will launch an initial ten-product range with Boots UK in 2026.Inflection Point Ventures has invested over ?900 crore across 280+ startups and backed 16 startups in Q1 2026 alone. Vitonnix, a UK-developed preventive healthcare startup has raised its first institutional capital in a seed round led by Inflection Point Ventures. The round saw participation from other investors, including practising doctors and bollywood actors, such as Riteish Deshmukh & Boman Irani, singer Jaspinder Narula and film producer Madhu Mantena. The funds will be used to strengthen its senior leadership team, build a consumer-growth engine, expand distribution channels and enter new international markets.Vitonnix was founded through an observation from a clinical practice where the gap between supplement intake and the body’s natural ability to absorb the nutrients highlighted the need for effective delivery methods. SubliSpray®, a range of sublingual nutritional sprays are designed for absorption through oral mucosa with each formulation built for the spray itself with attention to ingredient compatibility, dose consistency, taste and stability, rather than adapted from a tablet. It took over a decade of research to build this platform, including three completed clinical studies on key formulations.Commenting on the fund raise, Vinay Bansal, Co-founder, IPV, says, “Vitonnix stood out because it's more than a consumer supplement brand. It pairs clinical leadership with differentiated delivery technology and proprietary formulations, and Dr Jindal and his team have built the business with real capital discipline. We believe Vitonnix has the potential to create a global impact in preventive healthcare, and we wanted to be part of that journey.”Vitonnix was launched by three practising doctors: Dr Prashant Jindal, a UK-based refractive eye surgeon; Dr Deepti Jindal, a dermatologist; and Dr Rajesh Handa, an oral surgeon. Dr Prashant Jindal has practised for more than twenty years, serves an international patient base, and is a HarperCollins-published author and the founder of several philanthropic initiatives. The wider team includes doctors from India and the UK, formulation scientists and regulatory specialists.Dr. Sandeep Gupta, Director of Orthopedics at Max Hospitals, leads Vitonnix’s medical team in India and is part of the company’s core leadership. Bringing extensive frontline clinical expertise, he plays a pivotal role in shaping Vitonnix’s medical strategy, product innovation, and long-term vision of making nutritional supplementation more effective, convenient, and accessible.Dr Prashant Jindal, Co-founder, Vitonnix, said, “Vitonnix began in the United Kingdom with a clinical question, but the ambition was always global. We spent more than a decade building the company properly, from formulation science to manufacturing and international regulation, before taking institutional capital. India gave us the scientific talent and manufacturing base to scale, while our British clinical roots established the standards behind every product. IPV’s backing recognises the healthcare platform we have built and the lives we believe it can change.”Originally developed in the UK, Vitonnix has its research, formulation and manufacturing base in India, with global operations managed from London & Birmingham. They have already sold millions of bottles and built a loyal customer base largely on founder capital. Its precision spray systems are engineered in Germany, and patent applications have been filed for its bottle designs and formulations. Indian consumers have access to the same formulations, components and quality standards as those offered in the international markets.Vitonnix has undertaken product registrations, regulatory filings and market-entry work across the UK, US, UAE & India. In India, early support from the Tata group helped bring the brand to market, followed by a co-branded range within the Tata ecosystem. Vitonnix is also preparing to launch its initial range of 10 products, with a UK rollout planned for 2026, as an early test of the company’s regulatory readiness with a major Boots, a well reputed British retailer. They have also taken their delivery platform into companion-animal health through Vetonnix, which they describe as the world’s first oral nutritional spray platform for pets. The initial range covers skin and coat, calming support, multivitamins, growth and development, and bones and joints, and is meant to ease the difficulty of giving pets pills and powders.The markets Vitonnix operates in are growing quickly. IMARC Group estimates that India’s nutraceuticals market will grow from USD 8.93 billion in 2025 to USD 23.09 billion by 2034, and MarketsandMarkets expects Europe’s dietary supplements market to rise from USD 45.75 billion in 2025 to USD 64.03 billion by 2030. Grand View Research values the global pet supplements market at USD 2.8 billion in 2025 and projects USD 4.6 billion by 2033. Vitonnix will keep building in India and use the UK as its gateway to Europe, with retail distribution, strategic healthcare partnerships and regulatory expansion as the next priorities.About Vitonnix:Vitonnix is a doctor-founded preventive healthcare company specialising in scientifically formulated sublingual nutritional sprays. Developed in the UK and scaled through its scientific and manufacturing base in India, it combines clinical insight, proprietary formulations, precision delivery technology and international regulatory expertise, with a portfolio spanning human and companion-animal health. India: www.vitonnix.in | UK: www.vitonnix.co.uk | Pets: www.vetonnix.comVitonnix products are food supplements and are not intended to diagnose, treat, cure or prevent any disease.About Inflection Point Ventures:Inflection Point Ventures (IPV) is an angel investing platform with over 9,600 CXOs, HNIs, and professionals investing together in startups. The firm supports new-age entrepreneurs by providing them with monetary and experiential capital and connecting them with a diverse group of investors.

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Securonix Named to 2026 Fortune Future 120 for Long-Term Growth Potential

Bangalore, October 2026 : Recognition highlights Securonix’s long-term growth potential amid rising demand for governed AI and modern security operationsSecuronix, Inc., a six-time Leader in the Gartner® Magic Quadrant™ for SIEM, today announced that it has been named to the 2026 Fortune Future 120, which recognizes publicly traded and privately owned companies from around the world that are best positioned to drive sustained, long-term growth.The 2026 Future 120 methodology evaluates companies across Growth Ambition, Growth Team Density and Growth Culture. The ranking uses a proprietary corporate vitality score comprising 15 forward-looking factors selected for their ability to predict long-term sales growth.The recognition comes as Securonix continues to invest in governed AI security, behavioral analytics, threat intelligence and security data economics. These capabilities help security teams detect and respond to attacks accelerated by AI, identify risks involving AI agents and service identities, and manage rising telemetry volumes while preserving the context needed for investigation and response.“Our growth has come from listening closely to customers and building around the pressure they face every day,” said Toby Weiss, Chief Executive Officer of Securonix. “That has shaped our investments in helping them defend against AI threats and a more practical approach to the data economics of a modern Security Operations Center. Being named to the Fortune Future 120 is a credit to the people across Securonix who keep turning difficult customer problems into technology that works.”Across its Unified Defense SIEM platform, Securonix brings detection, investigation and response together with governed AI and human oversight. Sam, the AI SOC Analyst, executes Tier 1 and Tier 2 work, while the Agentic Mesh coordinates specialized agents across security workflows. Securonix Agentic Guardrails keep AI actions policy-bound, explainable, auditable and subject to human supervision.Securonix Agent and Entity Behavior Analytics (AEBA) helps security teams establish behavioral baselines and detect risk involving AI agents, service identities, workflows and agent actions. AEBA gives analysts greater visibility into abnormal agent activity, suspicious human-to-agent interactions and behavior that may indicate misuse, compromise or policy violations. Securonix also brings ThreatQ intelligence into detection, investigation and response, while its security data economics capabilities help organizations route and retain telemetry according to its operational and security value.The complete 2026 Fortune Future 120 is available at https://fortune.com/ranking/future/About the Fortune Future 120The Fortune Future 120 recognizes publicly traded and privately owned companies from around the world that are best positioned to drive sustained, long-term growth. Companies are evaluated across Growth Ambition, Growth Team Density and Growth Culture using a proprietary vitality score comprising 15 forward-looking factors selected for their ability to predict long-term sales growth.About SecuronixSecuronix is transforming security operations with the industry’s first Unified Defense SIEM with Agentic AI, built to decide and act across the threat lifecycle with a human-in-the-loop philosophy. Its cloud-native platform unifies detection, investigation, and response, while enabling Sam, the AI SOC Analyst, and a productivity-based AI operating model for the SOC, so organizations can measure and govern AI by the analyst work it delivers. Helping enterprises become Breach Ready and Board Ready, Securonix delivers accountable, outcome-driven security operations at scale. Recognized as a Leader in the Gartner® Magic Quadrant™ for SIEM and a Customers’ Choice by Gartner Peer Insights™, Securonix delivers trusted security operations for global enterprises. Learn more at www.securonix.com.

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Securonix Introduces Advanced Behavioral Analytics to Detect Human and AI-Driven Threats

Bangalore, October 2026 : New solution uses behavioral intelligence and governed Agentic AI to uncover human and AI-driven threats while keeping analysts in control, backed by new ISO/IEC 42001:2023 certification for responsible AI management.Securonix, Inc., today introduced Securonix Advanced Behavioral Analytics (ABA), a new capability that helps security teams identify at machine speed, activity that is technically permitted but operationally abnormal. ABA features Agent and Entity Behavior Analytics (AEBA), which identifies when an enterprise AI agent uses an unexpected tool, accesses data outside its purpose or changes its operating pattern. It connects those changes with identity, authority, data use, asset sensitivity, timing and threat context, helping analysts understand what changed, why it matters and what to do next.Compromised accounts, insider activity and AI agents can resemble legitimate behavior when events are reviewed in isolation. Advanced Behavioral Analytics combines AEBA with User and Entity Behavior Analytics (UEBA), which connects unusual login times, rising data access and contact with sensitive assets across systems and time. Together, AEBA and UEBA help analysts investigate developing risk instead of isolated alerts and carry context through detection, investigation, case management and governed response. Policies, approvals and audit records remain visible and enforceable throughout the process.“AI is compressing the time between initial access and business impact, while security leaders remain accountable for the decisions made under that pressure,” said Toby Weiss, Chief Executive Officer of Securonix. “Securonix Advanced Behavioral Analytics helps analysts identify meaningful behavioral change earlier and gives them clear control over how AI supports the response. Consequential response actions remain subject to human approval.”Detect AI-Accelerated Attacks and Govern the ResponseTraditional SIEM platforms were built to collect and correlate human and machine activity before enterprise AI agents became part of the attack surface. Securonix extends behavioral baselines and risk detection across users, identities, assets, applications, cloud environments and AI agents. It correlates signals across systems and time to surface compromised identities, unusual access, privilege misuse, sensitive data exposure and abnormal agent activity. An expanding catalog of AI-threat policies helps teams detect established attack techniques such as AI compresses reconnaissance, exploit development, privilege escalation and data movement.Sam, the AI SOC Analyst, executes repeatable Tier 1 and Tier 2 work across triage, investigation, evidence collection and case creation. The Agentic Mesh coordinates AI-supported workflows, while Agentic Guardrails keep actions policy-bound, visible and auditable. Analysts review and approve consequential response actions. By completing repeatable work, Sam helps security teams absorb growing alert volumes and expand SOC capacity without requiring linear growth in headcount.For authorized insider-risk investigations, the Securonix Insider Intent Agent adds contextual and corroborating evidence while preserving competing explanations. Analysts review each signal as part of the broader evidence rather than treating a message, search or behavioral deviation as proof of intent.“In a managed SOC, the hardest part isn’t writing detection rules. It’s understanding each customer’s environment well enough to separate real threats from normal activity. That becomes even harder in cloud and Infrastructure-as-Code environments, where workloads appear and disappear and identities constantly change.” said Darren Humphries, Group CISO, Acora. “Securonix Threat Analytics builds that behavioral baseline automatically, then uses risk scoring and evidence boards to show our analysts what matters and why. For Acora’s customers, that means fewer false positives, faster investigations and quicker containment, without losing the customer context that makes detection effective.”New Research Supports Critical Need For AI Governance PressureSecuronix research found increased AI investment alongside continued questions about governance, trust and human accountability. For The Evolution of Cybersecurity Automation: Towards the AI-Governed SOC, Securonix surveyed 1,000 global cybersecurity professionals during summer 2026.Survey findings show that cybersecurity teams want automation and AI to advance work inside clear approval boundaries. In the survey, 96% of respondents said cybersecurity automation is important to their organization, 49% said they use AI in behavioral analytics with human approval and 99.6% said their organization had increased its budget for AI in cybersecurity automation during the past year.Investment has moved past experimentation. Security teams want AI to advance the work inside clear approval boundaries, with evidence they can explain and outcomes they can defend. The full report and methodology will be available in November.Independent Assurance for Governed AISecuronix has also achieved ISO/IEC 42001:2023 certification, the world’s first AI management system standard. The certification covers the management system used to govern AI across the Securonix product portfolio, including ThreatQ, and follows an external audit with no major findings. It provides independent validation of accountability, AI risk management and human oversight and can support customer due diligence across security, procurement and AI governance reviews. The certificate is available through the Securonix Trust Center.Availability: Securonix Advanced Behavioral Analytics is available now.About SecuronixSecuronix is transforming security operations with the industry’s first Unified Defense SIEM with Agentic AI, built to decide and act across the threat lifecycle with a human-in-the-loop philosophy. Its cloud-native platform unifies detection, investigation, and response, while enabling Sam, the AI SOC Analyst, and a productivity-based AI operating model for the SOC, so organizations can measure and govern AI by the analyst work it delivers. Helping enterprises become Breach Ready and Board Ready, Securonix delivers accountable, outcome-driven security operations at scale. Recognized as a Leader in the Gartner® Magic Quadrant™ for SIEM and a Customers’ Choice by Gartner Peer Insights™, Securonix delivers trusted security operations for global enterprises. Learn more at www.securonix.com.

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India’s First Agentic AI Campus Takes Shape at KLH Hyderabad

Bangalore, October 2026 :Collaborates with HCL Group AI Labs to Bring Agentic AI into Student LearningKLH Hyderabad today inaugurated its Agentic AI Campus initiative and signed an MoU with HCL Group AI Labs, unveiling a roadmap that places AI-powered learning and student innovation at the centre of its academic vision. The collaboration aims to equip students across disciplines to understand, build and apply intelligent technologies through practical projects, faculty mentorship and industry engagement. Mr. Deepak Sarvanan, National Head, HCL Group AI Labs, formally inaugurated the initiative at a press meet in KLH Bachupally campus in Hyderabad. Dr. L. Koteswara Rao, Principal, KLH Bachupally, represented KLH at the MoU exchange, alongside Dr. A. Srinath, Dean – Skill Development, in the presence of other senior officials, deans, faculty and staff. The initiative aims to make AI an integral part of the student experience. From exploring concepts in the classroom to developing applications, students will be encouraged to use AI to investigate problems, test ideas and create solutions relevant to industry and society.Er. Koneru Lakshman Havish, Vice President, KL Deemed to be University said, “We want students to develop the confidence and skills to shape how AI is used in their chosen fields. Our collaboration with HCL Group AI Labs will help connect classroom learning with hands-on projects and industry expertise, giving students opportunities to build intelligent solutions for real-world needs. As we develop our Agentic AI Campus, our focus is on preparing young people to innovate responsibly and contribute meaningfully to an evolving workplace.”Agentic AI brings a new dimension to this approach. These systems can plan and carry out a series of tasks towards a defined goal, with appropriate human oversight. Understanding how such systems work will help students explore applications that extend from analysing information to coordinating workflows and supporting decisions.The proposed roadmap envisages project-based learning in areas such as business automation, data-driven services and discipline-specific AI applications. Students will be encouraged to design and test solutions, evaluating their accuracy, reliability and practical value.Faculty readiness will be a key part of the campus’s development. The collaboration envisages supporting educators in integrating AI into teaching, assignments and mentorship, helping students connect technical understanding with critical thinking and independent judgement.Responsible AI use will remain central to the learning approach, with attention to data privacy, bias, reliability and human accountability. Students will be encouraged to question outputs, verify information and understand the limitations of the systems they develop and use.Through its collaboration with HCL Group AI Labs, KLH Hyderabad aims to strengthen the connection between academic learning and the evolving workplace across its Bachupally and Aziznagar campuses, preparing students to develop AI solutions and apply them thoughtfully to real-world challenges.

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Kaspersky Launching AI Protect in Asia Pacific to Defend Enterprises Against Rising AI-Powered Threats

Bangalore, October 2026Kaspersky is officially launching Kaspersky AI Protect (KAIP) across the Asia Pacific region, introducing a purpose-built solution designed to secure enterprise AI infrastructure against a new generation of threats, from poisoned Large Language Model (LLM) files and malicious AI agents to conventional cyberattacks that continue to evolve alongside AI adoption.The launch comes as the Asia Pacific region has emerged as a global cyberattack hotspot, accounting for over 60 percent of recorded attacks worldwide. Manufacturing and IT services are the most targeted sectors, while small and medium enterprises across industries face severe exposure due to inadequate defense capabilities.At the same time, AI adoption across enterprise environments in the region is accelerating rapidly, and threat actors are moving just as fast. Globally, Kaspersky data shows that over 92,000 malicious attacks disguised as AI services were recorded in the first half of 2026 alone."The Asia Pacific region is at a critical inflection point. Enterprises are accelerating AI adoption and prioritizing speed to business value, yet many underestimate the real-world threats that come with it, including AI supply chain risks, model poisoning, malicious agents, and prompt injection attacks,” said Adrian Hia, Managing Director for Asia Pacific at Kaspersky.“Many organizations still hold the misconception that keeping large language models in-house makes them safe. But that overlooks how malicious code can be smuggled in through model weights, AI plugins, and skill scripts sourced from outside the organization," Hia added.KAIP directly addresses this gap with new features enabling it to check LLM files and AI agents for malicious functionality, while retaining mature protection against traditional cyber threats.“Security should not act as a barrier to AI advancement, but rather as an enabler that unlocks AI's scalable value. We are committed to embedding security into every stage of the AI lifecycle, from model import to agent execution, helping enterprises across Asia Pacific integrate AI security into existing security operations workflows to balance innovation and risk control,” Hia further said.KAIP is a best-in-class solution for the detection of AI-borne as well as traditional threats that can be integrated with almost any application. It provides comprehensive protection for web portals and applications, proxy servers, network-attached storage, and mail gateways, and is easy to manage and deploy through HTTP and ICAP as a standalone service, scalable cluster, or Docker container.As enterprises across APAC adopt increasingly diverse AI architectures, from on-premises LLM frameworks to RAG knowledge bases and AI agent orchestration platforms, conventional endpoint and network-perimeter defenses lack the dedicated detection capabilities needed for LLM weight files and AI-agent skill files, leaving critical entry points vulnerable.KAIP directly addresses this gap with new features enabling it to check LLM files and AI agents for malicious functionality, while retaining mature protection against traditional cyber threats."Security should not act as a barrier to AI advancement, but rather as an enabler that unlocks AI's scalable value. From model import to agent execution, we are committed to embedding security deep into the full AI lifecycle, as well as helping enterprises across Asia Pacific integrate AI security into existing security operations workflows to balance innovation and risk control," said Simon Tung, General Manager for ASEAN and Asia Emerging Countries (AEC) at Kaspersky.KAIP is available for Linux environments and can be deployed as an individual container, to Docker Swarm, Kubernetes, AWS EKS, and similar cloud environments. As part of the Kaspersky Technology Alliance ecosystem, it can be integrated into third-party hardware and software security offerings, with comprehensive technical cooperation support available for partners."At the end of the day, you cannot secure what you cannot see. KAIP gives enterprises visibility into the parts of their AI infrastructure that have been left unprotected for too long. We built this because the threats are real, they are growing, and organizations across Asia Pacific cannot afford to find out the hard way," Tung further said.About KasperskyKaspersky is a global cybersecurity company and digital privacy company founded in 1997. Innovating the industry with a Cyber Immunity approach, Kaspersky safeguards consumers, businesses, critical infrastructure, and governments from cyberthreats, with over a billion devices protected to date.Kaspersky ensures Cybersecurity True to Business, focusing on providing clear outcomes, protecting revenue, easing workloads and preventing downtime. Kaspersky’s deep threat intelligence and security expertise is constantly transforming into innovative solutions and services for organizations of every size, from small businesses to large enterprises, combining proven AI-driven protection technologies with simple management and expert support.Recognized in independent tests and trusted by millions of individuals worldwide and nearly 200,000 organizations, Kaspersky helps detect threats earlier, respond faster and operate with greater confidence and freedom, protecting what matters most to our clients. Learn more at www.kaspersky.com