EDITORIAL DESK

EDITORIAL DESK

Rubrik Extends Cyber Resilience Across Enterprise Unstructured Data

Bangalore, November 2026 :New hosted offering removes hardware barriers to bring clean recovery and cyber resilience to enterprise NASRubrik (NYSE: RBRK), the Security and AI Operations Company, announced today Rubrik-Hosted Protection for On-Premise Unstructured Data. The offering is built on Rubrik’s Network Attached Storage (NAS) Cloud Direct service. Customers now have clean recovery for enterprise-scale NAS data without having to buy, build or manage backup storage."Backups mean nothing if you can’t be confident in a clean recovery, and hardware limitations shouldn’t stand between an enterprise and its resilience,” said Anneka Gupta, Chief Product Officer, Rubrik. “By taking on backup storage and orchestration directly in our cloud, Rubrik reduces infrastructure friction so organizations can protect business-critical NAS systems across vendors under one unified policy."Modern enterprises rely on business-critical unstructured data that is expensive and difficult to recreate, such as medical scans, seismic surveys, design assets, and AI datasets. When unstructured data is lost or locked by ransomware, the applications that depend on it stop operating. Protecting it on-premises traditionally meant to buy, rack and maintain backup storage infrastructure. The acceleration of AI and increasing costs make hardware difficult to source and force enterprises to choose between infrastructure and security budgets.Rubrik-Hosted Protection for On-Premise Unstructured Data addresses the protection and the hardware sourcing challenges. Rubrik runs the storage, capacity and updates, allowing security teams to manage policy and recovery in Rubrik Security Cloud without managing the infrastructure underneath.Clean Recovery Without the Storage BurdenRubrik-Hosted Protection for On-Premise Unstructured Data includes:Rubrik-Hosted Backup Storage: Rubrik operates the backup storage, capacity and updates on its NAS Cloud Direct service. Lightweight software components (data movers) run on customers’ existing servers and connect their NAS to Rubrik’s cloud, so there are no bulky backup servers or large appliances to install on premises.Isolated and Immutable: Every backup lands in a Rubrik-hosted vault on a separate Rubrik identity domain, protected by retention lock, and designed so production admin credentials can’t reach or delete it.Protect and Recover Across a Heterogeneous Estate: A unified policy protects data across various storage vendors. Customers can recover to a different array, cloud storage, or into an isolated recovery environment (IRE) to test recovery safely.Ransomware Detection Built Into Every Backup: Anomaly detection runs on every backup, analyzing file entropy and change patterns with no second scan or add-on tool. Threat hunting across backup history helps teams identify a safe recovery point.Find Sensitive Data Before It Becomes a Risk: Sensitive data discovery and classification scans primary file shares directly. Customers can discover and locate sensitive data, then apply protection policies, retention lock, and legal hold to critical assets, which helps regulated organizations support audit and compliance requirements.Move Data Without Leaving the Platform That Protects It: With Copy and Migrate, customers can move NAS data across platforms, secondary sites, or cloud storage on a copy schedule, and then protect it at the destination with policies directly in Rubrik Security Cloud.“Achieving cyber resilience for unstructured data takes strong collaboration across the ecosystem,” said Alvaro Gonzalez, SVP, Product and Go-to-Market, Assured Data Protection. “While MSPs anchor customer relationships and services, Rubrik removes the underlying infrastructure burden. Rubrik gives Assured customers cyber resilience and peace of mind, allowing them to recover quickly from any cyber incident without managing the operational burden themselves.”Rubrik-Hosted Protection for On-Premise Unstructured Data is generally available as of November 3, 2026. Sensitive data discovery classification for primary data is available in preview. For more information, please visit the Rubrik unstructured data landing page here. SAFE HARBOR STATEMENTAny unreleased services or features referenced in this document are not currently available and may not be made generally available on time or at all, as may be determined in our sole discretion. Any such referenced services or features do not represent promises to deliver, commitments, or obligations of Rubrik, Inc. and may not be incorporated into any contract. Customers should make their purchase decisions based upon services and features that are currently generally available.About RubrikRubrik (NYSE: RBRK) is the Security and AI Operations Company, delivering one platform built at the intersection of data, identity, and AI. The platform enables agentic cyber resilience and trusted AI operations for enterprises worldwide, built to recover before disruption strikes and stay a step ahead, so security is never the reason ambition stalls. For more information, please visit www.rubrik.com and follow Rubrik on LinkedIn and X.© 2026 Rubrik, Inc. All rights reserved. Rubrik and the Rubrik logo are trademarks of Rubrik, Inc. Other marks are the property of their respective owners.

EDITORIAL DESK

Azul 2026 AI Vulnerability Gap Report: 85% of Organizations Running Java Have Had an Incident, Suspected Incident or Near Miss Due to Slow Patching

Bangalore, November 2026 : 69% of 300 security leaders believe AI-equipped attackers can build an exploit in three days or less; 44% need four days or more to patchAzul, the trusted leader in enterprise Java for today’s AI-first world, today released The 2026 AI Vulnerability Gap Report, a survey of 300 U.S. security leaders at organizations where Java is a significant share of the production application estate, conducted independently by Censuswide. The report finds that 85% of organizations have already experienced an incident or near miss attributable to slow patching, including 55% who report a confirmed incident and 53% who report a near miss, as AI shrinks the time attackers need to exploit newly disclosed vulnerabilities.Same Defenses, Faster AttackersThe findings arrive weeks after October’s OpenJDK quarterly update disclosed a record 53 OpenJDK vulnerabilities, the most in a single update in well over a decade, at a time when exploitation is outpacing patching. Virtually every leader surveyed said AI-powered attack tools have increased their organization’s security exposure over the past 12 months, yet 59% have not changed their security posture: 34% describe a moderate increase and are reassessing, while 25% say the increase is slight and not a priority. Meanwhile, 69% believe AI-equipped attackers can build a working exploit within three days or less, including 47% who say one to three days and 22% who say less than 24 hours. Mandiant’s M-Trends 2026 report goes further, estimating that the mean time to exploit dropped to negative seven days in 2025, meaning exploitation is often routinely occurring before a patch is even released.The Patch Cycle Was Designed for a Different AdversaryOnly 13% of security leaders say their organization can deploy a patch for a critical vulnerability across production in under 24 hours, while 43% need one to three days, 32% need four to six days and 12% need longer. In other words, the report finds a three-day gap: 69% of leaders believe an attacker can build a working exploit within three days, but only 56% of their organizations can get a critical fix out in that time. The same gap shows up at the 24-hour mark: 22% believe attackers are already working inside that window, but only 13% say they can deploy that fast.Testing is a major reason. Asked how long pre-deployment testing adds to their patch cycle for Java runtime updates, 36% said four to six days, 33% said one to three days and 22% said a week or more; only 9% said less than 24 hours, and no respondent skips testing. In total, 58% of organizations add four or more days of testing alone, longer than the three days or less most leaders believe an attacker needs.The testing burden exists because most Java updates carry more than security fixes. A full OpenJDK quarterly update can include hundreds of non-security code changes alongside the security fixes, and according to Azul’s assessment of OpenJDK releases over the past six-plus years, 23% of quarterly updates (6 of 26) caused a serious regression. That leaves enterprises with a significant challenge of trading off security vs. stability.85% Have Already Had an Incident or Near MissThe cost of slow patching is no longer hypothetical. Fifty-five percent of security leaders report a confirmed incident and 53% report a near miss attributable to slow patching, for a combined 85% (respondents could select both). The report suggests that figure is likely an undercount, since an incident can only be traced back to an unpatched system the organization knew it had. Exploiting a known, unpatched vulnerability was the number one initial breach vector in Verizon’s 2026 Data Breach Investigations Report, at 31% of breaches.The Java Estate Nobody Accounts ForJava runs underneath many of an enterprise’s most critical business applications, and as teams, acquisitions and cloud migrations have multiplied the number of runtimes, few organizations have a complete picture of where they all are. It runs reliably, and because it rarely causes problems, it often gets less scrutiny than it deserves.Asked what portion of their production Java runtime estate is on the latest available security patch level, only 19% of leaders said nearly all of it, 90% or more. That means 81% of organizations have gaps in patch coverage, including 21% who say half or less of their estate is current.Visibility is the second blind spot. While 49% claim full visibility into every instance of their critical Java runtimes, including embedded, legacy and unmanaged instances, 51% concede they have only partial or limited visibility and suspect there are instances they cannot see. Azul’s analysis suggests that even the 49% figure is likely optimistic, because missing instances are invisible to the tools that should report them.The October compromise of eight eMudhra intermediate certificate authority keys shows what that blind spot can cost: browser vendors blocked the certificates, but Java runtimes keep their own trust stores and do not check revocation by default, so every runtime, including those embedded in applications and containers, needed its own update.Intent to Patch Is Not a DeadlineTwo-thirds of organizations (66%) have no mandated, time-bound commitment for patching non-critical vulnerabilities. Broken out, 38% patch on a “best effort” basis, 33% mandate a defined service-level agreement (SLA), 25% take a risk-based approach and patch only what is judged high priority, and 3% have no formal policy at all. That matters because AI agents are increasingly able to chain together vulnerabilities across systems: in a July 2026 OpenAI evaluation, autonomous agents running with reduced safeguards chained vulnerabilities to escape their test sandbox and gain unauthorized access to Hugging Face systems.Asked to name their biggest barriers to patching quickly, security leaders put three internal constraints at the top: extensive pre-deployment testing (44%), the complexity or age of affected systems (40%) and limited visibility into known vulnerabilities (36%). Delays in receiving patches from vendors was among the least cited at 25%, and is the only barrier on the list outside the enterprise’s control.Where Leaders Are Placing Their BetsFor the next 12 months, 32% of leaders name faster and more frequent patching and 26% name better visibility and inventory of software and runtimes as their primary strategy for reducing exposure, while 17% plan to invest in detection and response rather than faster patching. Together, faster patching and better visibility account for 58% of leaders’ primary strategies, and they correspond to the two problems this report traces end to end: you cannot patch what you have not found, and finding it does not help if remediation takes longer than exploitation. Every day between a fix becoming available and reaching production is a day an organization’s own testing, deadlines and inventory leave open.“Agentic AI has collapsed the margin defenders depend on, and most enterprises are still running patch processes built for a much slower adversary,” said Scott Sellers, co-founder and CEO of Azul. “Our research shows security leaders understand the threat: awareness is no longer the gap; execution is. No one can eliminate zero-day risk, but every organization decides how long it stays exposed by how much of its Java estate it can see and how fast a fix can move through it. Azul’s Security-only, Stability-first™ updates include only security patches, with nothing else bundled in that could risk breaking things, so enterprises can move fast and close that exploitation window before an attacker finds it first.”To read the full findings and benchmark your own patch cycle, download The 2026 AI Vulnerability Gap Report. Find more information on Azul’s Security-only, Stability-first™ updates.About the ReportThe research was commissioned by Azul and conducted independently by Censuswide among 300 U.S. security leaders, including CISOs, VPs and directors of information security, heads of security, security architects, SecOps and DevSecOps leaders and AppSec leaders, at organizations with 1,000 or more employees where Java and Java Virtual Machine (JVM)-based runtimes make up a significant share of the production application estate. All respondents have direct responsibility for, or significant influence over, cybersecurity strategy, vulnerability management or patching policy. Fieldwork was conducted August 3–7, 2026. Censuswide abides by the Market Research Society (MRS) Code of Conduct and ESOMAR principles.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.

EDITORIAL DESK

Vertiv targets up to 30% more cumulative AI token output in first 12 months using NVIDIA DSX, Polar deploys approach at Norway site

Bangalore, November 2026 : Pre-engineered reference designs enable configuration and validation up to 10x faster, combined with factory-built infrastructure for faster deployment, integrated with Dassault Systèmes’ 3DEXPERIENCE agentic platformAt NVIDIA GTC Berlin, Vertiv Holdings Co. (NYSE: VRT) and NVIDIA introduced an AI factory approach that combines rapid configuration and virtual validation of pre-engineered reference architectures with factory-built deployment. The approach is designed to move AI factories from project kickoff to productive capacity faster and, under defined assumptions, generate up to 30% more cumulative token output within the first 12 months with the same installed capacity. Polar Data Centers is applying the factory-built deployment approach to the first 41 MW phase of its multiphase AI data center at Herøya, Norway.For AI factory operators, securing compute is only part of the challenge. Traditional infrastructure development can require power, cooling and facility systems to be engineered and integrated through separate, sequential processes, creating complexity and potential delays. The Vertiv and NVIDIA approach starts instead with pre-engineered AI factory reference architectures that can be rapidly configured to customer and site requirements, virtually validated before deployment, and then translated into factory-built infrastructure.Configure and Validate: Up to 10x Faster with Pre-Engineered Reference DesignsTeams can start with pre-engineered AI factory reference designs and rapidly configure them for specific compute, power, cooling and facility requirements in a shared virtual environment. The approach combines the NVIDIA Vera Rubin DSX AI Factory reference design and NVIDIA Omniverse DSX Blueprint, with Vertiv SimReady power and cooling assets, integrated with Dassault Systèmes’ 3DEXPERIENCE agentic platform.Rather than developing an integrated infrastructure design from scratch, teams can configure and virtually validate proven reference designs against project requirements, interfaces and constraints. In the modeled scenario, this reduces the time from requirements to a configured and validated AI factory solution from approximately 30 days to three days, a 10x improvement.Vertiv is also contributing SimReady OpenUSD assets of its power and cooling equipment to SimReady Central Library on Hugging Face. The library helps engineering teams discover and reuse validated equipment assets in AI factory digital twins, reducing asset preparation and helping teams evaluate infrastructure options during design.Deploy: Up to 50% Faster with Factory-Built InfrastructureOnce the AI factory configuration is validated, Vertiv prefabricated solutions shift more assembly, integration and testing into the factory before equipment reaches the site. These solutions include Vertiv™ OneCore, a hybrid-built data center solution that integrates critical power, thermal management and supporting infrastructure, and Vertiv™ SmartRun, a prefabricated overhead infrastructure system for high-density power distribution, liquid cooling, networking and containment.By moving more infrastructure work off-site, teams can reduce field complexity and on-site integration requirements. In the modeled scenario, the factory-built approach reduces the infrastructure deployment period from approximately 90 days to 45 days, a reduction of up to 50%.Combined with the faster configuration and validation enabled by pre-engineered reference designs, the modeled approach reduces these stages from approximately 120 days to 48 days. That can make productive AI capacity available about 10 weeks sooner, generating up to 30% more cumulative token output within 12 months of project kickoff with the same installed capacity.Field Deployment: Polar Data Centers at Herøya, NorwayAt its Herøya campus in Norway, Polar is using Vertiv's factory-built deployment model for the first 41 MW phase of its multiphase AI data center, scalable to 100 MW. By shifting more infrastructure assembly, integration and testing into the factory before equipment reaches the site, the deployment model is designed to reduce on-site complexity and help make high-density, liquid-cooled capacity available to customers sooner. Vertiv is supplying prefabricated power and thermal modules, Vertiv™ SmartRun overhead infrastructure and Vertiv™ SmartMod, supported by Vertiv™ Unify software.“An AI factory earns its return in tokens, and every day spent configuring infrastructure or integrating it on site is output that never comes back,” said Giordano Albertazzi, CEO of Vertiv. “Success depends on how quickly operators can move from requirements to productive AI capacity. By starting with pre-engineered reference designs that can be rapidly configured and validated, then extending that approach through factory-built deployment, we help customers reduce complexity, deploy infrastructure faster and bring AI capacity online sooner. Polar Data Centers is demonstrating how that approach can be applied at scale in a real-world AI factory deployment.”“AI factories must be designed as one system, and the NVIDIA Vera Rubin DSX AI Factory reference design helps teams align compute, power and cooling requirements from the outset,” said Vladimir Troy, vice president of AI infrastructure at NVIDIA. “With the NVIDIA Omniverse DSX Blueprint, companies such as Vertiv and Dassault Systèmes can simulate these systems together and carry an integrated design into physical deployment, helping operators resolve conflicts earlier and bring productive AI capacity online sooner.”"With Vertiv and NVIDIA, we're accelerating AI factory design and deployment by engineering the factory as one system – compute, networking, power and cooling co-designed and co-simulated in a virtual twin,” said Stéphane Sireau, Vice President, High-Tech Industry, at Dassault Systèmes. “Integration issues get resolved before construction, not on site, helping bring token-producing capacity online sooner.”“Our customers measure us on how quickly capacity is ready for them,” said Andy Hayes, CEO of Polar Data Centers. “At Herøya, Vertiv’s factory-built infrastructure helps us manage the complexity of deploying power, cooling and white-space systems for high-density computing. It gives us a more disciplined, repeatable deployment model while preserving the flexibility to meet the requirements of our customers.”Vertiv and NVIDIA plan to demonstrate elements of the approach at NVIDIA GTC Berlin, including how facility requirements inform infrastructure configuration, how teams can virtually validate power and cooling requirements, and how Vertiv applies factory-built infrastructure to accelerate physical deployment. The demonstration will feature technology from Dassault Systèmes, and Polar Data Centers will show how the deployment approach is being applied in a real-world AI factory.For more information about Vertiv’s portfolio of power and thermal management products, infrastructure solutions, IT systems and services for critical digital applications, visit www.Vertiv.com.# # #About Vertiv Holdings Co.Vertiv (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.About Polar Data CentersPolar develops and operates high-performance data centers optimised for AI and high-density computing workloads. The company is building a growing European platform of AI-ready infrastructure, combining renewable power, resilient design, high-density cooling capability, and a customer-led approach to development and operations.About Dassault SystèmesDassault Systèmes is a catalyst for human progress. Since 1981, the company has pioneered virtual worlds to improve real life for consumers, patients and citizens. Through the 3DEXPERIENCE platform, AI-powered, science-based virtual twins help 390,000 customers of all sizes, in all industries, collaborate, imagine and create sustainable innovations that drive meaningful impact. For more information, visit: www.3ds.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.

EDITORIAL DESK

JFrog Closes the Shadow AI Blind Spot, Unveils AI-SEC to Control Every AI Agent, Skill, and Model, from the Developer to Production

Bangalore, November 2026 : New Local Shadow AI Detection and Bring Your Own LLM Key scanning gives security teams oversight of AI assets that pipeline and registry controls never reachJFrog, Ltd. (Nasdaq: FROG), the Liquid Software company and creators of the JFrog Software Supply Chain Platform, the system of record for trusted software artifacts, binaries, and AI assets, today announced advancements in JFrog AI Security, bringing AI asset detection, scanning and policy enforcement together in a single solution for the AI-Driven Software Supply Chain. JFrog is building upon its current Shadow AI Detection capabilities, extending to the developer endpoint. Local Shadow AI Detection surfaces AI assets running directly on developer machines, where pipeline and registry controls don’t reach. JFrog is also introducing New AI Asset Scanning with Bring Your Own LLM Key (BYOK), which lets customers scan skills, coding agent plugins, and APM packages using their own LLM instance, so they can vet this layer of the AI supply chain on infrastructure they control.“Developers are already running AI agents organizations can’t see. JFrog AI Security brings them under control,” said Shlomi Ben Haim, Co-Founder and CEO, JFrog. “Until now, the conversation around AI agents has focused on what they can build vs. what they can break or who answers for it when that happens. The question is no longer whether agents will touch your supply chain – it’s whether you can prove what they touched. Our customers live in a zero-trust world and can't trust AI agents or developers using AI blindly. JFrog brings detection, scanning, and policy enforcement for the AI-powered software supply chain into one solution.”Attackers Moved from Code to InstructionsThe JFrog 2026 Software Supply Chain Security State of the Union report tracked malicious AI agent skills, identifying 969 carrying high-impact payloads, alongside 495 malicious AI models on Hugging Face. Existing AppSec tools were built to catch vulnerable code. Agent skills, plugins, and APM packages ship something different: plain-English instructions that an agent reads and acts on.JFrog’s AI Security bridges that gap with three capabilities: Local Shadow AI Detection, which inventories the AI assets in use; AI Asset Scanning, which reads the intent of models, skills, plugins, and APM packages; and JFrog Agent Guard, which enforces policy at the point an agent reaches for any of them. Together, they give security and developer teams a single source of truth for AI assets.Shadow AI Detection Now Extends to the Developer EndpointSecurity teams increasingly need to know which AI assets are in use and who introduced them. Developers install skills, plugins, MCP servers, hooks, and other agentic assets through Git, Slack, marketplaces, and zip files, often outside the security teams’ review. Each of these assets runs with the developer’s own permissions and credentials, and it is not always clear what was installed, who installed it, or whether anyone approved it – which becomes increasingly problematic in an environment that is becoming more and more compliance driven.JFrog’s new Local Shadow AI Detection extends visibility to developers’ machines by:Detecting assets as they land: Deployed through the JFrog Agent Plugin on the developer workstation via mobile device management (MDM) or agent harness settings, it finds skills, plugins, and MCP servers, regardless of which repository or marketplace they came from.Scanning on the local device: Deterministic scanning runs on the workstation itself, and only metadata and a risk assessment go back to the JFrog Platform.Creating a baseline: Every asset is cross-referenced against source data in the JFrog Platform to understand what is approved for use, enabling security teams to move forward with confidence.With JFrog AI Security, platform engineering and security teams finally have comprehensive visibility and policy enforcement through a single system of record.AI Asset Scanning with BYOKThe new AI Asset Scanning Bring Your Own LLM Key (BYOK) capabilities use semantic scanning with the customer's own private LLM account helping customers to:Keep control of their data: Prompts and skills go directly from the JFrog Platform to the customer's model endpoint, with nothing routed through a JFrog-hosted gateway.Leveraging existing LLM contracts: Customers using their own key can scan and be billed through their own provider, leveraging existing investments. For JFrog's self-hosted customers, BYOK is the only way to run AI Asset Scanning."Security teams need visibility that starts at the developer’s machine – before an asset ever reaches a coding agent or shared through Artifactory. Regulated customers need scanning that points at their own models," said Yuval Fernbach, Vice President & CTO, JFrog AI Security. "Local Shadow AI Detection and AI Asset Scanner address both needs in a single solution: JFrog AI Security."JFrog AI Security, including Local Shadow AI Detection and AI Asset Scanning, is available now to JFrog Unified Security and Ultimate Security customers. Initial releases of JFrog AI Asset Scanning BYOK supports: Anthropic's Opus 4.8, OpenAI's GPT 5.6 Sol, and Google’s Gemini 3.1 Pro. To learn more about Local Shadow AI Detection, visit https://jfrog.com/ai-security/ or check out this product demo.###Like this Story? Share this on X: AI agents don't just write software, they follow instructions. JFrog Research uncovered 969 AI agent skills carrying high-impact malicious payloads. Attackers aren’t breaking in, they’re being invited. @JFrog AI Security puts every model, skill, plugin, and MCP server under one system of record, from laptop to production. Learn more: https://jfrog.co/4zIDm3r #AISecurity #AgentSecOps #DevGovOps #DevSecOps #softwaresupplychain #AIGovernanceAbout JFrogJFrog Ltd. (Nasdaq: FROG), the creators of the unified DevOps, DevSecOps, DevGovOps, and AgentSecOps platform, is on a mission to create a world of trusted software delivery without friction from development to production. Driven by a “Liquid Software” vision, the JFrog Platform is a software supply chain system of record that is designed to power organizations as they build, manage, govern, and distribute secure software with speed and scale. Holistic security features help identify, protect, and remediate against threats and vulnerabilities. The universal, hybrid, multi-cloud JFrog Platform is available as both SaaS services across major cloud service providers and self-hosted. Millions of users and approximately 6,600 organizations worldwide, including a majority of the Fortune 100, depend on JFrog solutions to securely embrace digital transformation in the AI era. Learn more at https://jfrog.com or follow us on X @JFrog.Cautionary Note About Forward-Looking StatementsThis press release contains “forward-looking” statements, as that term is defined under the U.S. federal securities laws, including, but not limited to, statements regarding our expectations with respect to the performance of JFrog AI Security, including Local Shadow AI Detection and AI Asset Scanning BYOK.These forward-looking statements are based on our current assumptions, expectations and beliefs and are subject to substantial risks, uncertainties, assumptions and changes in circumstances that may cause JFrog’s actual results, performance or achievements to differ materially from those expressed or implied in any forward-looking statement. There are a significant number of factors that could cause actual results, performance or achievements to differ materially from statements made in this press release, including but not limited to risks detailed in our filings with the Securities and Exchange Commission, including in our annual report on Form 10-K for the year endedDecember 31, 2025, our quarterly reports on Form 10-Q, and other filings and reports that we may file from time to time with the Securities and Exchange Commission. Forward-looking statements represent our beliefs and assumptions only as of the date of this press release. We disclaim any obligation to update forward-looking statements, except as required by law.

EDITORIAL DESK

Fulcrum Digital Appoints Latha Nathan as Senior Vice President, India Delivery Operations

Bangalore, November 2026 : Latha will lead India Delivery across all business units, driving delivery excellence, talent development and AI-led client outcomes as Fulcrum scales.Fulcrum Digital, a leader in enterprise AI and digital transformation, today announced the appointment of Latha Nathan as Senior Vice President, India Delivery Operations. Latha leads Fulcrum Digital's India delivery organization across all business units and across all centres in Pune, Coimbatore and Mumbai. Her appointment strengthens the leadership bench as the company builds the capacity to accelerate into its next phase of hypergrowth.Latha brings experience across technology services, engineering services, product development and GCCs, capabilities that directly support Fulcrum Digital’s next phase of growth. In her new role, she will focus on delivery excellence, talent development, client success and scaling India operations. She will work to strengthen India Delivery as a strategic growth engine, expand the company's technology ecosystem, and help POD teams use AI across delivery functions to deliver differentiated outcomes for clients globally."As we scale, we are giving our leaders greater strategic ownership so that decisions are made closer to our people and clients, with more agility," said Dhana Kumarasamy, Chief Executive Officer, Fulcrum Digital. Latha’s experience aligns directly with our next phase of growth. She will play a key role in developing our people, strengthening our practices and building the leadership depth to support that growth.”Commenting on her appointment, Latha Nathan said “I am delighted to join Fulcrum Digital at such an exciting and defining stage in its growth journey. With its strong talent base, technology capabilities and trusted client relationships, Fulcrum is well positioned to scale its impact. I look forward to partnering with our teams to build a high-performing delivery organisation that consistently delivers measurable business outcomes for our clients, creates lasting value, and provides an environment where our people can learn, grow and thrive."Latha Nathan joins Fulcrum Digital from Fidelity Investments, where she served as Vice President, leading a business unit focused on digitisation, driving delivery of a customer-facing platform product, and serving as a member of the India Regional Leadership Team. Over the course of her career, she has led large-scale digital platforms and technology initiatives across global teams, with a focus on digital transformation, AI/ML adoption, platform modernisation and measurable business outcomes. Prior to Fidelity, she held senior leadership roles at BankBazaar, Photon, Information Edge and Infosys, where she built and scaled technology organisations and Global Capability Centres (GCCs), established and expanded mobile, data and engineering capabilities, led large teams and global engagements, and managed significant P&L responsibilities.About Fulcrum Digital:Fulcrum Digital is a global AI-first enterprise transformation company with over 25 years of experience. The company partners with enterprises across financial services, insurance, healthcare, retail, manufacturing, higher education, and logistics to move from AI experimentation to scalable business outcomes. Fulcrum Digital works with over 100 global clients, including Fortune 500 enterprises, combining deep industry expertise with capabilities in enterprise AI, digital engineering, cloud modernisation, platform integration, and generative AI.For more information, visit www.fulcrumdigital.com

EDITORIAL DESK

Servotech Renewable Announces Q2 FY27 Financial Results; Consolidated Total Revenue Up 56.82%, Gross Profit Up 84.54%

Bangalore, November 2026 : Servotech Renewable Power System Ltd. (NSE: SERVOTECH), a leading manufacturer of solar solutions, BESS, and EV charging solutions, today announced its unaudited financial results for the quarter and half year ended September 30, 2026, which were approved by the Board of Directors at its meeting held on 3rd November 2026.Q2 FY2026-27 Financial OverviewStandaloneTotal Revenue stood at ?15,882.34 lakh in Q2 FY27, witnessing a growth of 54.31% from ?10,292.63 lakh in Q2 FY26.Gross Profit increased by 61.42%, rising to ?3,632.99 lakh in Q2 FY27 from ?2,250.62 lakh in Q2 FY26.EBITDA surged by 105.07%, standing at ?1,997.72 lakh in Q2 FY27 compared to ?974.18 lakh in Q2 FY26.Profit Before Tax grew by 251.23% to ?1,090.35 lakh in Q2 FY27 from ?310.45 lakh in Q2 FY26.Profit After Tax stood at ?837.33 lakh in Q2 FY27, witnessing a growth of 268.51% from ?227.23 lakh in Q2 FY26.ConsolidatedTotal Revenue grew by 56.82%, standing at ?16,882.76 lakh in Q2 FY27 from ?10,765.69 lakh in Q2 FY26.Gross Profit witnessed a growth of 84.54%, standing at ?4,359.83 lakh in Q2 FY27 from ?2,362.55 lakh in Q2 FY26.EBITDA stood at ?2,360.34 lakh in Q2 FY27, growing by 216.97% from ?744.66 lakh in Q2 FY26.Profit Before Tax grew by 2273.18%, standing at ?1,256.12 lakh in Q2 FY27 from ?52.93 lakh in Q2 FY26.Profit After Tax (after share of profit of associates) stood at ?974.65 lakh in Q2 FY27, registering a growth of 2366.21% over ?39.51 lakh in Q2 FY26.Speaking of the results, Raman Bhatia, Managing Director, Servotech Renewable Power System Ltd., said, "This quarter has been about growth, exploring new opportunities, and taking meaningful steps forward in our journey. We are pleased with the positive momentum the company is witnessing, both in terms of business performance and the opportunities emerging across our key business segments. We have continued to strengthen our portfolio with the introduction of new products and solutions, while advancing our focus on innovation, technology and manufacturing capabilities. These developments reflect our commitment to staying ahead of evolving market requirements and creating solutions that deliver greater value to our customers.I am particularly encouraged by the opportunities ahead and the progress we are making as an organisation. With several new developments in the pipeline and more exciting product launches and initiatives to come, we are looking forward to building on this momentum. We remain confident in our growth trajectory and committed to creating sustainable, long-term value for our customers, partners and shareholders."- - Press Release Ends - -About Servotech Renewable Power System Limited (Formerly known as Servotech Power Systems Ltd.):Servotech Renewable Power System Limited (Formerly known as Servotech Power Systems Ltd.) is an NSE-listed organization that develops tech-enabled EV charging and renewable energy solutions, leveraging over two decades of experience and expertise in the electronics space. The Company offers an integrated portfolio across DC chargers, solar inverters (Hybrid and GTI models), Battery Energy Storage Systems (BESS), and lithium-ion battery packs, serving multiple applications across commercial and domestic segments. With its comprehensive engineering capabilities, Servotech plays a pivotal role in developing India's renewable energy and EV technology infrastructure. As a trusted brand with a strong pan-India presence, the Company's legacy is marked by proven innovations and the development of advanced technologies.For more information, please visit https://servotech.in/Disclaimer:This press release contains “forward-looking statements” — that is, statements related to future, not past, events. In this context, forward-looking statements often address our expected future business and financial performance, and often contain words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “should” or “will.” Forward-looking statements by their nature address matters that are, to different degrees, uncertain. For us, uncertainties arise from the behaviour of the renewable energy, electronics, and EV infrastructure industries; from the integration and performance of our subsidiaries and joint ventures; and from numerous other matters of national, regional, and global scale, including those of a political, economic, business, competitive, or regulatory nature. These uncertainties may cause our actual future results to be materially different from those expressed in our forward-looking statements. We do not undertake to update our forward-looking statements.

EDITORIAL DESK

Palo Alto Networks Unveils Cortex XDR One to Reinvent Endpoint Security for the Agentic AI Era

Bangalore, October 2026 : New platform unifies Extended Detection and Response (XDR) with Cortex Agentic Endpoint Security into a single sensor to protect enterprise hosts and autonomous AI agentsPalo Alto Networks, the global cybersecurity leader, today announced Cortex XDR One, a unified endpoint security platform designed to protect enterprises from threats targeting both traditional operating systems and autonomous AI agents. By bringing together Extended Detection and Response (XDR) and Cortex Agentic Endpoint Security into a single interface and lightweight sensor, Cortex XDR One addresses the critical security blind spots created by the rapid enterprise adoption of AI coding agents, co-pilots, Model Context Protocol (MCP) servers, and personal AI tools.Over the past two years, enterprises have increasingly authorised AI agents to interact directly with internal databases, production code, financial ledgers, and customer management systems. Because these agents operate non-deterministically and inherit user permissions, they introduce complex attack vectors such as prompt injection, indirect data poisoning, and unauthorised API calls that traditional Endpoint Detection and Response (EDR) solutions and basic software containers were not built to stop."The expansion of agentic capabilities across enterprise endpoints demands a security posture that treats AI agents with the same rigour and control as traditional system processes," said Orcun Tezel, Vice President, Technical Solutions, Asia Pacific & Japan at Palo Alto Networks. "Just as we pioneered XDR to protect network, identity, and cloud environments, Cortex XDR One expands endpoint protection to govern AI agents at the source, enforce OS-level boundaries, and stop evasive threats in real time."Key features and capabilities of Cortex XDR One:Real-Time AI Inventory and Shadow AI Visibility: Instantly detects, catalogs, and governs all AI artifacts, packages, extensions, and ungoverned "shadow AI" tools installed on enterprise endpoints.Dual-Layer Execution Enforcement: Combines runtime agent guardrails against prompt injection and destructive commands with real-time operating system monitoring to block zero-day exploits and living-off-the-land attacks.On-Sensor Small Language Models (SLMs): Deploys optimised, lightweight language models directly on the endpoint sensor to inspect and block fileless, evasive threats offline without transferring sensitive code to the cloud.Unified Sensor and Cross-Domain Telemetry: Consolidates telemetry onto a single sensor to stitch together end-to-end attack chains, reducing false positives by up to 95% and enabling rapid automated remediation.Flexible Deployment Options: Organisations can deploy Cortex Agentic Endpoint Security as a standalone module alongside third-party EDR solutions using a targeted sensor, or natively integrate it through the full Cortex XDR One platform.Managed Support via Unit 42: Customers can pair XDR One with Unit 42 Managed Detection and Response (MDR), which now includes Managed Agentic Endpoint Security for proactive threat hunting and AI risk governance.The technology powering Cortex Agentic Endpoint Security stems from Palo Alto Networks' integration of Koi, an innovative agentic security startup whose capabilities were initially deployed internally by Palo Alto Networks' InfoSec team.AvailabilityCortex XDR One and Cortex Agentic Endpoint Security are available immediately. For more information, read the blog.About Palo Alto NetworksPalo Alto Networks (NASDAQ: PANW), the global AI cybersecurity leader, protects our digital way of life with a comprehensive portfolio of cybersecurity solutions and platforms across Network, Cloud, Security Operations, AI and Identity. Trusted by 75,000+ customers and powered by Unit 42 threat intelligence, our AI-driven platforms eliminate complexity, empowering enterprises to modernise with confidence and securing the speed of innovation. Explore the future of security at www.paloaltonetworks.com.Palo Alto Networks, Cortex, Cortex AgentiX, Chronosphere and the Palo Alto Networks logo are trademarks of Palo Alto Networks, Inc. in the United States and in jurisdictions throughout the world. All other trademarks, trade names, or service marks used or mentioned herein belong to their respective owners. Any unreleased services or features (and any services or features not generally available to customers) referenced in this or other press releases or public statements are not currently available (or are not yet generally available to customers) and may not be delivered when expected or at all. Customers who purchase Palo Alto Networks applications should make their purchase decisions based on services and features currently generally available.

EDITORIAL DESK

Deep tech startup Viridian Ingni Propulsion raises 1.47 Cr in pre-seed round led by Inflection Point Ventures

Bangalore, October 2026 :Viridian Ingni Propulsion, is incubated at IIT Madras Research Park, building complete electric propulsion ecosystems, motor, controller and firmware in-house.? The round takes total funding to 1.47 crore through CCPS, alongside ?3.75 lakh in grants from SIPCOT, MeitY Startup Hub, NIDHI PRAYAS, IIT Madras RTBI and Cummins CSR.? Funds will be deployed towards pilot production tooling, ARAI/ICAT certification and homologation, motor controller firmware validation, key engineering and business hires, and working capital for first customer deliveries.? Inflection Point Ventures has invested over ?900 crore across 280+ startups and backed 16 startups in Q1 2026 alone.Chennai, 29 October: Deeptech focused Viridian Ingni Propulsion, a Chennai-based propulsion technology company, has raised ?1.47 crore in a pre-seed round led by Inflection Point Ventures. The company has additionally received ?53.75 lakh in grants from SIPCOT (Tamil Nadu Government), MEITY Startup Hub, NIDHI PRAYAS under the Department of Science and Technology and Ministry of Heavy Industries, the IIT Madras Research Park's RTBI programme, and Cummins CSR.The fresh capital will enable The Propulsion Company to move from validated prototypes into pilot production. Key priorities include developing motor stamping tooling and dies, setting up a pilot production line and small manufacturing facility, completing ARAI/ICAT certification and homologation, validating motor controller firmware, key engineering and business teams, and working capital for first customer deliveries against existing letters of intent.The Propulsion Company develops complete electric propulsion systems- motor, controller and firmware design and validation in-house. Unlike most propulsion suppliers in India who build only one part of this stack, Viridian delivers all three as a single validated unit. Its system systems are built for applications ranging from electric vehicles, drones, robotics and industrial machinery.Mitesh Shah, Co-founder, IPV, said, “Viridian Ingni is addressing a critical gap in India’s EV and propulsion ecosystem by developing its entire technology stack, including motors, controllers and firmware, in-house. Its ability to adapt motor technology across applications, from e-rickshaws to drones, sets it apart in both domestic and global markets. We believe this engineering-led team has the potential to make Indian-built propulsion systems the preferred choice for OEMs. IPV is excited to support the company as it moves towards pilot production and customer deliveries.Viridian Ingni Propulsion was founded in February 2024 by Sriram G, Founder & CEO, who brings close to 14 years of experience in electric vehicle and propulsion systems engineering, including seven years at IIT Madras's EV research centres before starting the company.Commenting on the investment, Sriram G, Founder & CEO, The Propulsion Company, said, “When we started Viridian Ingni, the conviction was simple, India designs very few of its own propulsion systems, and almost none end-to-end. We build the motor, the controller and the firmware together, and we choose the right magnet technology for each application rather than forcing one solution everywhere. IPV backed that thesis early and their network has already opened doors that would have taken us far longer to reach on our own. This round takes us from validated prototypes into pilot production, certification and our first customer deliveries. The goal is to make Indian-designed propulsion the default choice for EV, drone and industrial OEMs, not the fallback.”The company tailored magnet technology to each use cases : rare-earth-free ferrite PMa-SynRM motors for e-rickshaws, two-wheelers, HVAC, compressors and solar pumps, and rare-earth PMSM motors for drones, cobots, AGVs and marine applications where power density is critical. A shared design platform across product lines is intended to lower incremental cost and time-to-market for each new application, while also reducing Indian OEMs' reliance on imported rare-earth magnets from China.Viridian Ingni is currently pre-revenue, moving from validated prototype to pilot production, with a five-member, engineering-led team operating out of IIT Madras Research Park, Chennai.The company holds letters of intent for 350 motors across two customers, Crop Xplore and Yali Mobility, and is targeting the automotive EV, drone/UAV, robotics and industrial machinery markets as it moves from validated prototype to pilot production.India's EV motor market was valued at approximately USD 0.90 billion in 2024 and is projected to reach USD 2.89 billion by 2030, growing at a CAGR of around 21.5 percent, according to MarkNtel Advisors. Globally, the EV traction motor market was estimated at USD 12.57 billion in 2024 and is projected to reach USD 74.17 billion by 2030 at a CAGR of about 30.2 percent, per Grand View Research.[Note: third-party estimates for the global traction motor market vary widely by report and scope; the source above should be verified before publishing.]About Viridian Ingni Propulsion:Founded in February 2024 by Sriram G and incubated at IIT Madras Research Park, Chennai, Viridian Ingni Propulsion Pvt. Ltd. designs and builds complete electric propulsion systems, motor, controller and firmware, for electric vehicles, drones, robotics and industrial machinery. The company's rare-earth-free motor technology reduces Indian OEMs' dependence on imported rare-earth magnets, while its platform approach lets a single design architecture serve multiple applications.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.

EDITORIAL DESK

Palo Alto Networks Introduces Cortex Cloud SaaS Security to Protect Connected Enterprise Environments

Bangalore, October 2026 : New capability unifies posture, identity, data, and AI security across SaaS and cloud environmentsPalo Alto Networks, the global cybersecurity leader, today announced Cortex Cloud SaaS Security, bringing SaaS security directly into the broader cloud security experience, unifying posture, identity, data, and AI security across SaaS and cloud environments. This integrated approach helps the connected enterprise safeguard applications against misconfigurations, AI risks and data exposure as the attack surface expands.Modern enterprises operate across an increasingly interconnected ecosystem of SaaS applications, cloud infrastructure, identities and sensitive data. AI agents and third-party integrations continue to deepen these connections, creating new pathways for attackers to exploit misconfigurations, excessive permissions and exposed resources. However, security remains fragmented across SaaS and cloud environments, limiting visibility into how individual risks connect and where attackers could move next.Siddharth Deshpande, Director of Industry Solutions, Asia Pacific and Japan, at Palo Alto Networks, said, “As enterprises connect AI agents to their business applications, they also expand access to sensitive data and critical systems. An excessive permission or misconfiguration in one application can create exposure across connected environments. Security teams need to understand those relationships, identify which risks matter most and act quickly. Cortex Cloud SaaS Security brings SaaS and cloud risks into a unified view, helping organisations protect sensitive information and accelerate investigation and remediation through agentic AI workflows.”Key Capabilities of Cortex Cloud SaaS Security:Unified Visibility Across the Enterprise: Cortex Cloud SaaS Security provides complete visibility across SaaS and cloud, including 100 SaaS applications and the data, identities and AI within them.Prioritisation of Connected Risks: Cortex Cloud SaaS Security connects SaaS exposures with data, identity, AI and cloud risk to uncover attack paths and focus on the most critical risks.Accelerated Response with Agentic AI: Integrations with Cortex AgentiX helps accelerate security investigations and remediation through agentic AI-driven workflows.As SaaS, cloud and AI environments converge, isolated security assessments can no longer provide the context needed to manage enterprise risk. Cortex Cloud SaaS Security brings posture, identity, data, AI and threat security together to help organisations understand their connected attack surface and act on emerging exposures.For more information, read the blog.About Palo Alto NetworksPalo Alto Networks (NASDAQ: PANW), the global AI cybersecurity leader, protects our digital way of life with a comprehensive portfolio of cybersecurity solutions and platforms across Network, Cloud, Security Operations, AI and Identity. Trusted by 75,000+ customers and powered by Unit 42 threat intelligence, our AI-driven platforms eliminate complexity, empowering enterprises to modernise with confidence and securing the speed of innovation. Explore the future of security at www.paloaltonetworks.com.Palo Alto Networks, Cortex, Cortex AgentiX, Chronosphere and the Palo Alto Networks logo are trademarks of Palo Alto Networks, Inc. in the United States and in jurisdictions throughout the world. All other trademarks, trade names, or service marks used or mentioned herein belong to their respective owners. Any unreleased services or features (and any services or features not generally available to customers) referenced in this or other press releases or public statements are not currently available (or are not yet generally available to customers) and may not be delivered when expected or at all. Customers who purchase Palo Alto Networks applications should make their purchase decisions based on services and features currently generally available.XXX

EDITORIAL DESK

Kaspersky GReAT uncovers attack targeting government-only Windows system in Asia

Bangalore, October 2026Kaspersky's Global Research and Analysis Team (GReAT) has uncovered an attack targeting a customized version of Windows 10 used exclusively by government organizations in an Asian country. The attackers used legitimate software components to launch NetamLoader, a previously unknown malware framework that can receive and run additional code while concealing its activity.Kaspersky identified one victim through its threat monitoring network and has not linked the attack to any known threat group. The malware was built for this specific operating system: among other steps, it removes selected entries from the logs of the system's own update component.The investigation began in the first half of 2026, when Kaspersky detected a suspicious configuration file inside an archive stored in a Windows update folder. Most of the accompanying programs were legitimate, including components of the third-party patch management tool Patch My PC and Microsoft signed module. The attackers used modified supporting files to make this genuine software load malicious instructions. The location and contents of the archive point to a possible software supply chain attack, in which attackers abuse software delivery or update processes to reach their targets. Researchers did not observe how the archive reached the victim, and the findings do not indicate that Patch My PC or its distribution systems were compromised.NetamLoader unpacks its malicious content through several layers of encoding, compression and encryption. It then moves execution into a legitimate Windows process, making the connection to the original program harder to trace. The framework also interferes with an anti-malware scanning function and deletes files that could help investigators reconstruct the attack.Once active, NetamLoader contacts an attacker-controlled server to receive further instructions and configuration changes. The configuration researchers analyzed includes a delay of 20 to 40 minutes before the first connection. If the server provides no valid response, the malware waits 22 to 28 hours before trying again. These delays can leave short monitoring sessions with little network activity to examine."Technological sovereignty has become a priority for many governments, and operating systems are often where it starts. Running your own platform gives you control, but it also means securing the entire ecosystem around it, from update channels to the maintenance tools it relies on, and that ecosystem takes time to mature. This case shows why defenders need to look at how components interact, not only whether each program is legitimate," Sergey Lozhkin, Head of Kaspersky GReAT Research Center, APAC& META.Kaspersky products detect this threat as HEUR:Trojan.MSIL.NetamLoader.gen, Trojan.MSIL.Zapchast.* and Trojan.Script.Agent.*. The full technical report, including indicators of compromise, is available on Securelist.To protect against similar threats, Kaspersky recommends:Utilize Kaspersky Threat Intelligence Services for access to up-to-date threat feeds, behavior-based IoCs, and detailed threat hunting reports. Compiled and powered by the expertise of Kaspersky research teams, including GReAT, it empowers analysts to leverage data from recent investigations, including this one, and examine unfamiliar samples before they reach production environments.Audit software update channels, because the attackers placed their package in the folder Windows uses for downloaded updates. Monitor these folders for unexpected executables and configuration files, verify the origin of every update package and allow third-party management tools to run only from approved locations.Detect stealthy behavior on endpoints with Kaspersky Next EDR Expert. It correlates suspicious activity such as a signed program loading code through a modified configuration file, a Windows system process connecting to external servers and tampering with anti-malware scanning, which individually might pass for routine system activity.Monitor network traffic with Kaspersky Anti Targeted Attack (KATA). The platform spots infrequent, encrypted connections to unfamiliar external servers, including those hidden behind content delivery networks, and helps teams track malware that waits hours or even days between check-ins.Store logs outside endpoints with Kaspersky SIEM, because NetamLoader deleted system cache files, .NET usage logs and entries from the update component's records. Centralized collection preserves the evidence attackers try to erase and turns unexplained gaps in local logs into an alert.About the Global Research & Analysis TeamEstablished in 2008, Global Research & Analysis Team (GReAT) operates at the very heart of Kaspersky, uncovering APTs, cyber-espionage campaigns, major malware, ransomware and underground cyber-criminal trends across the world. Today GReAT consists of 35+ experts working globally – in Europe, Russia, Latin America, Asia and the Middle East. Talented security professionals provide company leadership in anti-malware research and innovation, bringing unrivaled expertise, passion and curiosity to the discovery and analysis of cyberthreats.About KasperskyKaspersky is a global cybersecurity 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

EDITORIAL DESK

Vertiv India Expands into South Asia Through New Distribution Partnership with Inflow Technologies

Bangalore, October 2026 : The association allows Vertiv India to offer customers in new markets access to their power, thermal, and IT infrastructure solutions.Vertiv (NYSE: VRT), a global leader in critical digital infrastructure, today announced a distribution partnership with Inflow Technologies, a Singapore-based distributor of Information and Communication Technology (ICT) products and services. The agreement expands Vertiv India's presence in neighbouring markets such as Bangladesh, Bhutan, the Maldives, Nepal, and Sri Lanka.With Inflow, customers in the region will have access to Vertiv's uninterruptible power supply (UPS) systems, precision cooling solutions for data centre and edge environments, and IT racks and enclosures, along with technical training and product support from Vertiv. Access to the portfolio is expected to resonate with enterprise IT teams and system integrators as they scale infrastructure across these markets.The alliance comes at a time when digital infrastructure investments are accelerating across South Asia. Governments and enterprises in these markets are advancing digital transformation initiatives and cloud adoption driving demand for resilient power and thermal infrastructure, which creates new opportunities for critical digital infrastructure providers such as Vertiv.“Combining Vertiv solutions and capabilities with the Inflow Technologies’ strong local partner network and financial enablement, we can improve market reach, strengthen channel confidence and accelerate business momentum across the adjacent markets. Our focus is not just on expanding distribution, but on creating a stronger ecosystem that enables our partners and customers to grow with us,” said Reginald Borges, Director – Business Development, International Operations, Vertiv India."This partnership brings together what each of us does best to accelerate infrastructure growth across South Asia. Inflow will act as a growth engine for Vertiv’s journey in the region. Working closely with Vertiv’s engineering and product teams, we will help customers build the resilient, energy-efficient power and cooling infrastructure their businesses need as they scale. Together, we are committed to building the region's ICT ecosystem and supporting long-term, sustainable growth for our customers and channel partners," said Ms. Kousalya Narayan, Vice President, South Asia Channel, Inflow Technologies.For more information about the Vertiv channel partners program visit 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 predictions. Actual events or results may differ 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 important risk factors concerning Vertiv and its operations. Those risk factors and risks related to the proposed transaction, among others, could cause actual results to differ materially from historical performance 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.

EDITORIAL DESK

Gartner Identifies the Top AI Trends in Infrastructure and IT Operations for 2027

Bangalore, October 2026 : Heads of I&O Must Capitalize on These Trends to Accelerate Autonomous Operations and Support Enterprise-Scale AI InitiativesGartner, Inc., a business and technology insights company, has identified the top AI trends in infrastructure and IT operations (I&O) for 2027.Heads of I&O are increasingly being tasked with improving IT operations while enabling AI initiatives across the business. A Gartner survey of 272 heads of I&O conducted between April and May 2026 found that 58% believe scaling proof of AI concepts to I&O adoption will be an important priority in the next 12 months.“AI is creating one of the most significant shifts the I&O function has ever faced,” said Jonathan Forest, VP Analyst at Gartner. “Rather than trying to address every aspect of AI simultaneously, heads of I&O should focus on a small number of strategic investments that deliver meaningful impact.”Gartner identified five AI trends that heads of I&O should focus now to improve operational efficiency with AI, optimize costs, build the hybrid infrastructure needed to support AI inference, address converging operational and cybersecurity risks, and strengthen I&O’s role as the enterprise AI platform orchestrator (see Figure 1):Figure 1: Top AI Trends in Infrastructure and IT OperationsAI Agents Accelerate Autonomous IT OperationsAgentic AI in I&O marks a shift to goal-driven software agents that can execute complex IT workflows with minimal human intervention. As operational complexity, scale and velocity increase, organizations are deploying AI agents to automate tasks such as incident triage, change validation and remediation.By 2030, Gartner predicts that 50% of organizations will use AI agents with minimal human involvement in IT operations, up from nearly 0% in 2026.“AI agents are driving a shift from reactive, human-in-the-loop operations to proactive, human-on-the-loop operations,” said Forest. “Heads of I&O who fail to restructure their organization around agentic AI risk higher costs, poor operational agility and performance, and ultimately, irrelevance.”Agentic AI Creates a Token Economics ChallengeThe transition from conversational AI to autonomous agentic AI workflows is driving a significant increase in token consumption. Unlike traditional AI interactions, agentic systems perform complex multistep tasks that require substantially more tokens, creating new cost management challenges for I&O teams.Through 2027, Gartner predicts that enterprises implementing AI agents in IT operations using uncapped variable pricing models tied to token usage will exceed initial cost expectations by more than 50%, compared with organizations using predictable subscription and bundled pricing models.Gartner recommends a strict “no telemetry, no deployment” policy to eliminate blind spots in AI spending and token usage.AI Inference Drives the Rise of Hybrid AI InfrastructureMost enterprises are consuming existing foundation models through inference rather than training models from scratch. Because enterprise data resides across a mix of public clouds, private data centers and edge environments, AI infrastructure is becoming increasingly hybrid, a shift that is being accelerated by privacy, cost, performance and data sovereignty requirements.By 2029, Gartner predicts that 80% of large enterprises will operate production AI workloads across at least three infrastructure environments, including public cloud, neoclouds, on-premises data centers and edge locations. AI Converges IT Operational Risk and Cybersecurity RiskAs AI becomes increasingly embedded in enterprise infrastructure, operational and cybersecurity risks are becoming more interconnected. Shared AI tooling, telemetry and the growing use of AI agents are driving closer collaboration between I&O and security teams to improve resilience, risk management and operational efficiency.By 2030, Gartner predicts that 25% of enterprises will merge their network operations center (NOC) and security operations center (SOC), up from 5% in 2026, realizing an over 25% reduction in total spend on tooling and staff resources.I&O Emerges as the Enterprise AI Platform OrchestratorAI deployments across cloud, data center and edge environments are increasing the need for a coordinated approach to managing AI infrastructure, governance, security and operations. Consequently, I&O is evolving from a traditional gatekeeper role to the orchestrator of the enterprise AI platform, enabling the business to deploy and scale AI in a reliable, secure and cost-effective manner.Through 2030, Gartner predicts that organizations without a strong I&O function driving AI infrastructure design, architecture and support will be over twice as likely to fail in their AI initiatives.“The high cost of AI infrastructure leaves little room for error, placing I&O at the center of enterprise AI success,” said Forest. “Heads of I&O must elevate their teams’ capabilities, reduce technical debt and shift from reactive operations to proactively enabling enterprise AI.”Additional Insights AvailableGartner clients can read more in Top AI Trends in Infrastructure and IT Operations for 2027.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.About Gartner for Infrastructure & IT Operations LeadersGartner for Infrastructure & IT Operations Leaders helps heads of I&O reinvent how they deliver value for the business. Additional information is available at https://www.gartner.com/en/infrastructure-and-it-operations-leaders.Follow news and updates from Gartner for Infrastructure & IT Operations Leaders on X and LinkedIn. Visit the Gartner 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.# # #