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Delvitech to open state-of-the-art manufacturing and technology facility in Bengaluru

Bangalore, September : Company to also showcase latest inspection solutions at productronica India 2026, reinforcing its long-term commitment to IndiaDelvitech, a Swiss leader in the development of AI-native Automated Optical Inspection (AOI) solutions for electronics, today announced the establishment of a new state-of-the-art manufacturing and technology facility in Bengaluru with an initial investment of USD 10 Mn and an overall investment of USD 25-30 Mn. Spread across 65,000 sq. ft., the facility is planned to become operational in Q1 CY 2027 and marks a significant milestone in Delvitech's long-term commitment to the Indian market.The facility is expected to create 500 – 800 jobs in the next 5 years, while building specialized manufacturing, engineering and technical skills, upholding the quality standards of Delvitech's Swiss engineering heritage.Delvitech further strengthened its India presence by showcasing its latest inspection solutions, including Horus, Aton, and Horus Dual Lane at productronica India 2026 in Bengaluru. The company demonstrated how physical AI is transforming inspection into a competitive advantage, driving greater efficiency in cost, time and sustainability.Commenting on the announcement, Roberto Gatti, Founder and CEO of Delvitech SA, said, "India is one of our priority markets; and the country has leapfrogged in its manufacturing capabilities over the last few years, with electronics now being at the center of that growth story. We see enormous potential here; not just as a manufacturing base, but increasingly as a hub for R&D and innovation. Our customers here didn't ask us to be present; they asked us to be close. Bangalore is that answer."Vasanth Kumar, Head of Asia Operations, Delvitech, added, "India is fast becoming a global centre of electronics manufacturing and innovation. Our decision to establish manufacturing capabilities here reflects our confidence in that growth. The new facility brings together in-house precision machining, metrology and equipment integration under one roof, allowing us to control quality and tolerances at every stage, shorten lead times, and localize engineering support for our customers. We are investing in India for the long term, building a facility that goes beyond assembly to deliver real manufacturing, technology and customer value locally."At the new plant, critical components will undergo rigorous inspection using in-house Coordinate Measuring Machine (CMM) and metrology equipment, ensuring accuracy, repeatability and compliance. The facility will also integrate mechanical, electrical, optical, software and control systems, supported by engineering and R&D for localization and continuous improvement. It will also serve as a support center, with a dedicated demonstration area letting customers trial and evaluate machines locally.As Indian OEMs and EMS companies scale production and adopt higher levels of automation and traceability, Delvitech sees the opening of their plant as an opportunity to bring its inspection solutions closer to customers.# # #About DelvitechDelvitech stands as the only AI-native solution for 3D Automated Optical Inspection (AOI), redefining the industry through a unique technological platform built on a future-proof architecture.Born from the vision of combining artificial intelligence with advanced optics, Delvitech’s platform is designed to evolve alongside the fast-paced electronics industry. Its detection capability spans every imaginable element on a PCB, from ultra-thin transparent glues, to micro-pitch connectors, to robust mechanical and plastic parts, delivering full-spectrum visibility and guaranteed precision.By turning inspection into intelligent prediction, Delvitech is not just detecting errors but is anticipating them, leading the transformation of quality control into a new era of precision and efficiency.Since 2023, Delvitech has been certified for Quality and Environmental Management according to ISO 9001 and ISO 14001 standards.In January 2025, Delvitech SA was awarded the SEF.Growth High-Potential Label from the Swiss Economic Forum (SEF), recognizing in Delvitech a proven growth potential and a compelling strategic vision.For more information, visit https://delvi.tech

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Capgemini strengthens its footprint in Coimbatore with a new office at ELCOT IT Park

Bangalore, September 2026 : Capgemini has expanded its footprint in Coimbatore with a new office at ELCOT IT Park, marking the company’s 28th office in India and its ninth in Tamil Nadu. Spread across 1,37 lakh sq. ft. with more than 1,500 seats, the facility brings together centres of excellence in product engineering, robotics and power electronics.The office was inaugurated in the presence of Sanjay Chalke, CEO - India, Capgemini, and Kartik Ramakrishnan, CEO - Financial Services and Member of the Group Executive Board, Capgemini.The expansion comes as Coimbatore continues to strengthen its position as Tamil Nadu’s second-largest software hub. The new office will support Capgemini’s work in consumer goods and aerospace, while enabling teams to incubate ideas, demonstrate capabilities and co-create solutions for clients across industrial, semiconductor, automotive and cloud infrastructure sectors.It will serve business units including Financial Services, Engineering, Cloud Infrastructure, Insights & Data and Digital. Designed to reflect the region’s Tamil Kongu heritage, it includes employee experience and well-being spaces that support collaboration and a hybrid workplace model, along with energy-efficient equipment and sensor-based lighting controls.

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M Group selects HCLTech for AI-led IT transformation across 200+ locations

Bangalore, September : HCLTech, a leading global technology company, has been selected by M Group, the leading essential infrastructure services provider in the UK and Ireland, to modernize and transform IT operations across its 200-plus locations.Through AI-led managed services spanning infrastructure and end-user operations, HCLTech will deploy its AI Force service transformation platform to streamline M Group's IT landscape, strengthen resilience and build a scalable digital foundation for growth. The program will also accelerate broader digital transformation across M Group's water, energy, technology and communications, transport, and defense, industrial and public sector business lines."Technology is critical to helping our people deliver essential infrastructure services safely, efficiently and at scale. As we continue to transform M Group, we're investing in a stronger digital foundation and partnering with HCLTech, a global leader in IT services, to bring a new level of service for every team member in the field and in the office. Together, we'll enhance the quality, reliability and scalability of our IT operations, helping colleagues work more effectively while supporting innovation and sustainable growth across the business,” said Chloe Anfield, Chief Technology Officer at M Group."M Group keeps critical infrastructure running for millions across the UK and Ireland. Being trusted to modernize the IT backbone behind that is a responsibility we take seriously. Our teams bring deep experience in complex, multi-site environments and we are committed to ensuring M Group's technology keeps pace with the demands of the sectors it serves," said Ajay Bahl, Chief Growth Officer and Global Head, Energy and Manufacturing at HCLTech.This win extends HCLTech's track record in essential infrastructure, an environment where operational continuity and regulatory compliance leave little margin for error and marks a significant deployment of AI Force at scale across a multi-sector services business.About HCLTechHCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. To learn how we can supercharge progress for you, visit hcltech.com.

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Palo Alto Networks Delivers Anthropic’s Mythos and OpenAI’s GPT-5.6 to Customers with Unit 42 Continuous Frontier AI Defense

Bangalore, September 2026 : New service enables enterprises to continuously find and fix exposures before attackers weaponize themPalo Alto Networks (NASDAQ: PANW) today announced Unit 42® Continuous Frontier AI Defense, an agentic offensive security service designed for enterprises that want to leverage gated capability models, including Anthropic’s Claude Mythos and OpenAI’s GPT, to perpetually find, validate, and remediate enterprise exposures before attackers can weaponize them.Threat actors today are deploying AI to find and exploit vulnerabilities, compressing breach cycles by almost 97% in some cases, from weeks to hours. To help defenders answer the critical question of whether they are prepared for this step-change in cybersecurity, Unit 42 is now offering continuous offensive testing to identify and validate vulnerabilities, pinpoint exposures and attack paths, and then accelerate remediation.This builds on Unit 42’s Frontier AI Defense, which launched in April and introduced a point-in-time exposure analysis and a subsequent security blueprint that benchmarks current capabilities to help organizations modernize their cybersecurity systems. In August, Unit 42 announced it would expand its Frontier AI Exposure Analysis with OpenAI’s GPT-5.6-Cyber and Anthropic's Claude Mythos 5, giving organizations access to its advanced cyber capabilities.Key Capabilities of Unit 42 Continuous Frontier AI DefensePowered by a proprietary multi-model harness that integrates cyber-specialized frontier AI models with Unit 42 threat intelligence and offensive security expertise, the new service delivers always-on threat exposure management to eliminate critical security blind spots. Key capabilities include:Continuous Testing Engine: Provides a full-estate baseline scan followed by always-on testing as an organization’s environment changes.Multi-Model AI Harness: Unit 42 deploys a proprietary multi-model harness, the software architecture to route work to the model best suited for the task, improving efficacy and coverage while managing the cost of frontier AI at scale.Leading Cyber Models: The harness is built around gated capability models, including Anthropic Claude Mythos 5 and OpenAI GPT-5.6-Cyber, as well as open weight models.Advanced Adversary Simulation: Proves real-world exploitability by validating end-to-end attack paths across first- and third-party web apps, APIs, cloud infrastructure, source code repositories, and network assets.Accelerated Remediation: Delivers actionable and prioritized fixes, code-level guidance, and virtual patch recommendations. To implement virtual patches before vulnerabilities are publicly disclosed or official patches exist, organizations can pair this with Frontier Virtual Patching.Proven EfficacyPalo Alto Networks developed and validated this approach over six months of in-house testing and across more than 100 Unit 42 customer engagements, backed by a $17 million investment in R&D and methodology optimization. During internal deployment within Palo Alto Networks, the company found a year’s worth of exposures in three weeks. In customer assessments, the Frontier AI Exposure Analysis found exposures in 100% of customers. Of those, 37% rated high or critical in severity. Overall, most exposures stemmed from first-party apps and more than two in three exposures in third-party apps had no known CVE.Sam Rubin, Senior Vice President of Unit 42 at Palo Alto Networks"AI has created an asymmetric advantage for threat actors against organizations trying to defend at human speed. Modern cybersecurity requires machine-speed defense. We’re combining Unit 42’s offensive testing and threat intelligence expertise with industry-leading AI harnesses and exclusive access to gated capability models to give defenders back the upper hand."McCall McIntyre, Head of Global Cyber Partnerships, OpenAI“Frontier AI is compressing the time it takes to find and exploit vulnerabilities, and defenders need frontier AI capabilities within the tools, workflows, and services they already trust. Through Daybreak and our work with Palo Alto Networks’s Unit 42, we are pairing OpenAI GPT Cyber Models with deep security expertise, strong governance, and human judgment to help organizations validate the attack paths that matter and move from discovery to remediation at machine speed.”Michael Moore, Cybersecurity Lead, Anthropic"Claude Mythos found flaws that survived decades of human review, and more than ten thousand high-severity vulnerabilities across the software the world runs on. That kind of visibility is only useful if someone can act on it, and Palo Alto Networks is built for exactly that. Unit 42 takes what Claude Mythos finds, tests whether it can actually be exploited, maps what an attacker could reach from there, and gets the fix in front of the right team first.”AvailabilityContinuous Frontier AI Defense is available worldwide on an annual subscription with options that vary based on the specific OpenAI, Anthropic and open-source models that are used. All subscriptions leverage a multi-model harness to match the optimal AI model to each security task.To learn more about Unit 42 Continuous Frontier AI Defense, register for the upcoming Virtual Threat Briefing here.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 modernize with confidence and securing the speed of innovation.Forward-Looking StatementsThis press release contains forward-looking statements that involve risks, uncertainties, and assumptions, including, but not limited to, statements regarding the anticipated benefits and impact of the proposed acquisition of Embrace on Palo Alto Networks, Embrace and their customers. There are a significant number of factors that could cause actual results to differ materially from statements made in this press release, including, but not limited to: the effect of the announcement of the proposed acquisition on the parties' commercial relationships and workforce; the ability to satisfy the conditions to the closing of the acquisition; the ability to consummate the proposed acquisition on a timely basis or at all; significant and/or unanticipated difficulties, liabilities or expenditures relating to proposed transaction, risks related to disruption of management time from ongoing business operations due to the proposed acquisition and the ongoing integration of other recent acquisitions; our ability to effectively operate Embrace's operations and business following the closing, integrate Embrace's business and products into our products following the closing, and realize the anticipated synergies in the transaction in a timely manner or at all; changes in the fair value of our contingent consideration liability associated with acquisitions or the fair value of our convertible senior notes and capped call transactions; developments and changes in general market, political, economic and business conditions; failure of our platformization product offerings; risks associated with managing our growth; risks associated with new product, subscription and support offerings; shifts in priorities or delays in the development or release of new product or subscription or other offerings or the failure to timely develop and achieve market acceptance of new products and subscriptions, as well as existing products, subscriptions and support offerings; failure of our product offerings or business strategies in general; defects, errors, or vulnerabilities in our products, subscriptions or support offerings; our customers' purchasing decisions and the length of sales cycles; our ability to attract and retain new customers; developments and changes in general market, political, economic, and business conditions; our competition; our ability to acquire and integrate other companies, products, or technologies in a successful manner; our debt repayment obligations; and our share repurchase program, which may not be fully consummated or enhance shareholder value, and any share repurchases which could affect the price of our common stock.Additional risks and uncertainties that could affect our financial results are included under the captions "Risk Factors" and "Management's Discussion and Analysis of Financial Condition and Results of Operations" in our Quarterly Report on Form 10-Q filed with the SEC on June 2, 2026, which is available on our website at investors.paloaltonetworks.com and on the SEC's website at www.sec.gov. Additional information will also be set forth in other filings that we make with the SEC from time to time. All forward-looking statements in this press release are based on information available to us as of the date hereof, and we do not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.XXX

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Nagarro showcases new agentic Salesforce solutions at Dreamforce 2026

Bangalore, September 2026 : Nagarro, a global AI-native engineering and transformation company and a member of Salesforce's Forward Deployed Engineering (FDE) Partner Network, unveiled a new suite of agentic AI solutions built on Salesforce at Dreamforce 2026. Under the theme "From friction to flow," the solutions target operational bottlenecks across various business-critical functions.A trusted Salesforce Summit partner, Nagarro has been heavily investing in building AI-led capabilities within the Salesforce ecosystem. Established 14 years ago, the company’s Salesforce practice has grown into a global team of more than 800 experts across 15+ geographies, serving over 200 clients worldwide. With a dedicated architecture and innovation board, the company constantly explores the latest technologies and builds solutions that can transform businesses.The new solutions from Nagarro on show at Dreamforce included:RetailAssist: a voice-enabled assistant for field representatives coveringvisit planning, store insights, and shelf-compliance analysis, flagging stock gaps and pricing issues in real time. RetailAssist was a winning solution at the recent Agentforce Mumbai Hackathon.FieldPursuit: a service assistant for field technicians, with AI-driven job preparation, predictive diagnostics, and repair guidance to improve first-time fix rates, plus automated documentation, compliance checks, and work-order closure.SalesPursuit: an AI lead-management agent that qualifies and prioritizes leads, reads customer signals, and automates activity summaries and CRM updates so representatives can focus on selling.ContractIQ: a contract-review agent that summarizes, redlines, validates clauses, compares versions, and checks policy compliance for faster, more accurate legal and sales reviews.Viyom Jain, Managing Directorand Global BusinessUnit Head, Enterprise Products, Nagarro, said, “As a member of the Salesforce FDE partner network, we look forward to helping customers turn their agentic vision into production-ready reality and deliver measurable outcomes at scale.Our latest suite of agentic AI solutions enables organizations to accelerate Agentforce success and transform business-critical processes from friction to flow.”Dreamforce 2026 markeda shift from AI as a featurewithin CRM to AI as the way enterprises coordinate work, with attention increasingly moving from pilots to production. Salesforce presented its platform as four connected layers: Data 360, Customer 360, Agentforce, and AIforce. It announced AIforce, a live interface layer with experiences including Claudeforce and Slackforce, and introduced Koa, its first CRM reasoningmodel, built on NVIDIA Nemotron, along with the Enterprise AI Harness for governance and security.Nagarro's place in theFDE Partner Network, reserved for partners with a proven record of taking Agentforce deployments into production, reflects that same shift.Security was one of the event's biggest talking points. Most access models were built with a human user in mind, but agentswork at a different scale: there are more of them, they move faster, and new ones are added constantly. Nagarro secures agentic deployments on three fronts: data, platform, and the agents themselves. That means tagging sensitive data and applying the same policy to agents and humans alike, running red-team agents to catch weaknesses early, and building in observability so teams can see what an agent is actually doing, not just what it was scoped to do. But tooling alone doesn't solve this. The harder question is accountability, having clear linesof responsibility betweenhumans and agents as deployments scale, and that's ultimately what decides whether an agentic transformation sticks.Nagarro remains committed to creating seamless and impactful customer experiences through industry-specific Salesforce solutions. By combining deep technical expertise with a keen understanding of industry needs,the company deliversintelligent, scalable AI solutions that enhance operational efficiency, drive innovation, and deliver measurable business outcomes.About NagarroNagarro is a global AI-native engineering and transformation company that engineers intelligence into enterprises securely, responsibly, and at scale. Distinguished by its entrepreneurial, agile, and global character, Nagarro is guided by its CARING values. The company employs around 18,700 people across 39 countries. For more information, please visit www.nagarro.com.FRA: NA9 (SDAX, ISIN DE000A3H2200, WKN A3H220)For inquiries, pleasecontact press@nagarro.com.

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UiPath Launches UiPath Cartographer, Helping Enterprises Turn Scattered Process Knowledge into an Actionable View of How Their Business Runs

Bangalore, September 2026 : Builds the Map of Work, a living and governed artifact unique to every enterprise process, generating design documents and build-ready specs that reflect the real-world context of how work gets doneUiPath, Inc. (NYSE: PATH), a leader in business orchestration and automation, today announced the launch of UiPath Cartographer, a new product for building the Map of Work, a living, governed view of how an enterprise process actually runs. Combined with coding agents, orchestration, and continuous improvement, UiPath Cartographer replaces the interviews, slide decks, and outdated documents used to capture the operational knowledge that drives successful automation and AI projects.Enterprises have spent years mapping their data, creating a structured knowledge base of every customer, invoice, claim, and contract. Yet very few have mapped the operational knowledge that guides the work itself. The rules a process follows, the exceptions employees quietly handle, and what happens when something goes wrong. All of this lives in the heads of the employees and in the disconnected collection of documents, spreadsheets, and threads accessed and shared at every step and for every exception – knowledge that must be retraced, repeatedly. Every new automation or AI initiative has to rebuild that understanding, but without the critical enterprise context, the Map of Work, showing how that knowledge is used.UiPath Cartographer is how that Map of Work gets built. It gives business analysts the ability to replace the weeks of interviews and handwritten documents generated when trying to improve a process with a guided conversation. By synthesizing context (documents, steps, rules, and exceptions) that usually lives in various systems and formats, UiPath Cartographer builds an implementable Map of Work of that process aligned to business goals, identifying opportunities for re-engineering and supporting the continuous capture of live feedback over time. It’s the authoritative, customer-owned source of truth, defined by the customer, of how business runs, with a named owner who approves every change.From the Map comes the design documents teams still need, and the working automations themselves, so nothing drifts out of sync. And as people make judgment calls while the work runs, those decisions are captured and offered back as proposed changes, which the Map's owner approves or rejects. Nothing changes on its own. Each process cycle makes the next one faster, because the objects and rules already captured carry forward. And because UiPath Cartographer runs on the UiPath Platform™, Cartographer inherits the same identity, security, and governance as the rest of the platform already uses.Using UiPath Cartographer, enterprise have everything they need to start the building of agents, workflows, and automations to improve the process on the UiPath Platform™ using:Prebuilt Maps – Based on the experience in helping UiPath customers with its portfolio of UiPath Solutions for some of the most common and business-critical industry- and function-specific processes (such as loan origination, healthcare claims review, source-to-pay, and others), these maps arrive drawn and configured.Process Atlas – A curated library of deep maps of complex processes across industries, grounded in domain knowledge and built from authoritative sources. It contains the whole shape of the process, with case plans, KPIs and benchmarks, standard policies and rules.Build your own – For those organizations with very specific and highly-governed processes, UiPath Cartographer captures what is native and proprietary, then gives the blueprint to build from.Once built, those agents and automations can be orchestrated using UiPath Maestro™, with built-in governance and observability for that workflow. Lastly, the Decision Ledger records and maintains what was decided and why throughout the process, feeding those curated decisions back into the Map of Work as operating knowledge or new rules, creating a continuous improvement loop that leaves the Map better than the last."For years, businesses have digitized their data without ever capturing the enterprise context of how that data is actually put to work," said Daniel Dines, Founder and CEO of UiPath. "Map of Work is how we translate that gap into something concrete. A process map tells you how work is designed to run. UiPath Cartographer is the key to uncovering the operational knowledge of how that work actually runs, with every exception and every judgment call included. It’s the first product built to capture both and keep them in sync."UiPath Cartographer is available now. Additional information is available here.About UiPath?UiPath, Inc. (NYSE: PATH) is a leader in business orchestration and automation, trusted by organizations worldwide to transform enterprise complexity into intelligent, secure operations where AI?agents?reason, robots act, and people lead. Built for the modern enterprise and the world's most regulated industries, UiPath integrates automation, orchestration, AI, and testing into governed, scalable workflows—unlocking innovation at the speed of business while delivering the controls and compliance enterprise?leaders?demand. Visit?www.uipath.com?for more information.# # #

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Azul Launches AI Assistant That Tells IT and Security Teams Where Java Licensing and Security Risk Is Hiding

Bangalore, September 2026 : As AI shrinks exploit timelines from weeks to hours, Azul Intelligence Cloud lets teams query runtime data in plain language to identify unpatched Java- before it becomes an incidentAzul, the trusted leader in enterprise Java for today’s AI-first world, today announced Azul Intelligence Cloud AI Assistant, a natural-language query interface that tells IT, DevOps and security teams where licensing and security risk is hiding in their production Java estate. The assistant provides answers grounded in live runtime data, replacing static reports that go stale the moment they’re generated.The Widening Attack SurfaceThis announcement comes at a time when the threat landscape shifts quickly for anyone responsible for Java security risk. Earlier this year, Anthropic disclosed that its Mythos model had autonomously discovered thousands of previously unknown software vulnerabilities — including flaws that had gone undetected for decades — and built working exploits without human guidance.[1] OpenAI has reported similar results with Aardvark, a GPT-5-powered agent that autonomously found and disclosed real-world vulnerabilities in open-source code, ten of which received official CVE identifiers.[2] The UK’s National Cyber Security Centre has assessed that proliferation of AI-enabled cyber tools will highly likely expand access to AI-enabled intrusion capability to an expanded range of state and non-state actors by 2027 — putting equivalent capability in adversarial hands within the next one to two years.[3] For enterprises running AI and business-critical workloads on Java, the practical effect is that the gap between a Common Vulnerabilities and Exposures (CVE) entry being disclosed and it being weaponized — already down to under five days, against a median 32-day patch cycle[4] — is only getting shorter.Static Reports Can’t Keep Up with a Live Java EstateMost IT and engineering teams still manage Java risk with static IT/Software asset management (ITAM/SAM) reports and code-scanning tools that describe a moment in time — accurate on the day they’re generated, and increasingly wrong after that as Java Virtual Machines (JVMs) spin up, patch, drift and retire underneath them. That gap shows up as three kinds of exposure that compound as the Java estate grows:Commercial licensing risk: unlicensed (e.g., Oracle Java) or unsupported JVMs running without anyone’s knowledge.Security risk: unpatched, vulnerable Java versions still in production.Maintenance overhead: unused and dead code that still gets tuned, tested and carried through every migration, because no one can assess it’s safe to remove.The larger the estate, the larger all three exposures get, and the less a point-in-time report can be trusted to catch these exposures before they become an incident, an audit finding or a breach.No Need to Build a Report, Get Answers in Real TimeAzul Intelligence Cloud gives IT and DevOps teams two continuously updated records of their Java estate: JVM Inventory, a live catalog of every JVM instance running anywhere — on-prem, cloud or container — and Code Inventory, a runtime record of which code actually executes in production versus what is merely provisioned. The new AI Assistant puts a conversational layer leveraging the latest LLM models on top of both, so teams no longer need to build a report or write a query to use them. They can simply ask:“Which JVMs are running Java versions which are not the latest updates?”“Where is Oracle Java running in production right now?”“What code hasn’t run in the past four quarters and is safe to remove?”Every answer comes from live production data, so teams can drill in ad hoc, follow a lead, or test a new hypothesis instantly — instead of waiting on the next scheduled scan.“Azul is extending its Intelligence Cloud platform with a new AI Assistant that gives enterprises a natural language interface into their Java runtime environments, to help identify unused code, redundant JVMs and untracked deployments. For organizations with decades of Java debt, the tool addresses a gap that has not yet been targeted at this level,” said William Fellows, research director at 451 Research by S&P Global Energy.The First Time a Business User Can See the Full PictureSeeing the full picture of a Java estate has always required going through whoever could run the report — a DevOps engineer, a platform team, a security analyst — while everyone else waited for a translation. Because the Azul Intelligence Cloud AI Assistant answers in plain language, the same in-production, runtime data becomes directly usable by whoever owns the business decision it feeds. A compliance officer preparing for an audit, a CFO weighing Oracle licensing exposure ahead of a renewal, or a CISO, who needs a current, potentially more defensible answer for the board, can get it and assess it without waiting on a technical team to pull and interpret the data first.[5]That same direct access extends to the partners who manage Java estates on customers’ behalf: for MSPs and systems integrators managing Java across multiple clients, the AI Assistant provides an on-demand deliverable they can offer as part of ongoing managed services rather than a one-time engagement. In every case — CFO, CISO or partner — the AI Assistant doesn’t take action in the environment; it only answers questions against JVM Inventory and Code Inventory’s runtime data drawn from live production environments, so the answer is traceable back to what actually ran in production, not a generated summary.Every JVM Vendor, One ConversationAzul Intelligence Cloud AI Assistant works regardless of which JVMs are deployed, from which vendor, or how old or large the applications running on them are. JVM Inventory and Code Inventory retain component and code-use history over time, so the AI Assistant can reason over which code, JVMs and applications have actually run in production, now and in the past. It then presents that data in plain language: for example, when an Oracle JVM was last run, what code has actually executed, and what unused or dead code may safely be removed. That level of insight comes without adding load to production. The LLM-based AI Assistant queries Java runtime data that Azul Intelligence Cloud already collects from running JVMs, so there’s no added performance overhead.“For years, enterprises have built dashboards and reports to understand what’s actually running in their Java estate, but by the time a report gets properly summarized and reviewed, the risk it describes has often already changed,” said Scott Sellers, co-founder and CEO of Azul. “That used to be a productivity problem. Now that AI can find and weaponize a vulnerability in hours instead of weeks, it’s a business risk — for security, for compliance and for the licensing exposure that shows up in an audit. The Azul Intelligence Cloud AI Assistant lets IT and security teams ask a direct question, in plain language, and get an answer grounded in what’s actually running in production right now, as well as query historical information for further analysis.”To see how your organization can turn Java runtime data into answers, explore Azul Intelligence Cloud.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.[1] Anthropic, Claude Mythos Preview announcement, April 2026; Cloud Security Alliance, “Claude Mythos: AI Vulnerability Discovery and Containment Failures,” 2026.[2] OpenAI, “Introducing Aardvark: OpenAI’s agentic security researcher,” October 2025.[3] National Cyber Security Centre (UK), “Impact of AI on Cyber Threat: Now to 2027,” May 7, 2025.[4] Cloud Security Alliance AI Safety Initiative, “The Collapsing Exploit Window: AI-Speed Vulnerability Weaponization,” April 2026 (time-to-exploit); Verizon, “2025 Data Breach Investigations Report” (median 32-day remediation time for edge-device vulnerabilities).[5] Azul tool’s output is informational and requires human validation before being used in regulatory filings or board representations.

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NETSCOUT ADDS MCP CONNECTIVITY, PUTTING AI-READY SMART DATA DIRECTLY INTO THE HANDS OF AI ASSISTANTS AND AGENTS

Bangalore, September 2026 : Built on NETSCOUT's Data Platform, Omnis AI Insights Gives On-Demand, Streaming, and Integrated Access to Trusted Network EvidenceNETSCOUT SYSTEMS, INC. (NASDAQ: NTCT), a leading provider of observability, AIOps, cybersecurity, and DDoS attack protection solutions, today announced Model Context Protocol (MCP) connectivity for its Omnis™ AI Insights solution. The new capability gives AI assistants and agents on-demand access to AI-ready Smart Data, NETSCOUT’s real-time operational evidence, providing the trusted context they need to support more accurate and informed decisions.AI-ready Smart Data builds on NETSCOUT’s patented Adaptive Service Intelligence™ (ASI) technology, using granular data to provide a richer, more scalable source of contextual network intelligence. NETSCOUT performs early semantic extraction and context optimization at source, transforming ASI data into compact, AI-ready Smart Data before it enters downstream systems. Omnis Sensor and Omnis Streamer are key components of NETSCOUT’s Omnis AI Insights solution, moving intelligence closer to the source of the data and enabling network infrastructure to evolve from simply producing telemetry to delivering contextual, AI-ready network intelligence.Omnis Sensor performs early semantic extraction at critical network vantage points to represent application, service, transaction, and behavioral context within ASI in real time at the source. It generates essential metadata while preserving operational meaning at the point of observation. This compact, high-fidelity evidence gives AI models trusted operational context for more accurate, efficient, and explainable decisions.Omnis Streamer collects and curates AI-Ready Smart Data for downstream use. Customizable playbooks shape the data for any domain, operational requirement, or use case, with healthcare, financial services, and telecommunications service provider environments among the available templates. It delivers those datasets through platform integrations, or on demand to AI assistants and agents through its new, built-in MCP server.Enriching network data before it reaches an AI model reduces the volume, cost, and complexity of processing raw telemetry while giving AIOps, observability, security, and analytics systems more meaningful evidence for faster, more reliable decisions and increasingly autonomous operations.Extending the Value of the NETSCOUT Data PlatformOmnis AI Insights provides organizations with a ground truth, evidentiary view of operations that AI agents and assistants require for trusted autonomous action:On-demand access for AI: MCP connectivity gives AI assistants, AI models, and agents relevant AI-Ready Smart Data at run time. NETSCOUT-provided tools guide them to the evidence that matters and help them interpret it.Direct platform integration: Ingestion of Smart Data via integration by Splunk, ELK Stack, Datadog, ServiceNow, Dynatrace and others.Investment protection: Omnis Sensor Adaptors help customers add these capabilities to their existing NETSCOUT infrastructure.AI-Ready Datasets: Clean Inputs, Confident Answers“Everyone knows there is no value to conclusions that cannot be trusted,” said Phil Gray, AVP, product management, NETSCOUT. “By adding MCP tools alongside our existing Kafka streaming capabilities, Omnis AI Insights gives IT professionals the flexibility to feed AI-ready Smart Data into analytics and AI platforms at scale and cost effectively, while also making that same context-rich intelligence directly accessible to Models and Agents. This helps organizations power AI with a compact, curated, trusted source of network truth rather than fragmented operational signals that suffer from hallucinations and high token spends.”In a live NETSCOUT deployment, conventional application monitoring tools indicated no application errors and nothing to investigate, while underlying network conditions degraded the user experience. NETSCOUT Smart Data preserved exactly what happened across the network, including the minimum window size, total retransmit count, and zero-window event count, allowing AI to verify facts rather than infer reality.NETSCOUT AI-ready Smart Data helps customers reach accurate answers faster, reduce token and infrastructure costs, and advance toward governed autonomous operations with greater confidence. It also extends the value of existing NETSCOUT investments while providing a differentiated data foundation for future AI innovation. These new capabilities in the Omnis AI Insights solution put trusted operational context to work across AI, analytics, observability, service assurance, security, and data lake environments without re-platforming or building new data pipelines.Resources:Learn more about Omnis AI Insights, including the Omnis Sensor and Omnis Streamer.Discover why high-quality, contextual data leads to better AI results.Review recent research that highlights the need for trusted data for better AI results.Read the Action-Grade Data for the AI Era white paper on why the data foundation underneath AI matters more than the model on top of it.About NETSCOUTNETSCOUT SYSTEMS, INC. (NASDAQ: NTCT) protects the connected world from cyberattacks and performance and availability disruptions through its unique visibility platform and solutions powered by its pioneering deep packet inspection at scale technology. As a leading provider of network observability, AIOps, carrier service assurance, cybersecurity, and Distributed Denial-of-Service (DDoS) attack protection solutions, NETSCOUT serves the world’s largest enterprises, service providers, and public sector organizations. Learn more at www.netscout.com or follow @NETSCOUT on LinkedIn, X, or Facebook.©2026 NETSCOUT SYSTEMS, INC. All rights reserved. Third-party trademarks mentioned are the property of their respective owners.

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Gartner Survey Finds Only 22% of Organizations Have Successfully Scaled AI Across Multiple Business Units

Bangalore, September 2026 : Despite Lack of Success, Investment in AI Continues to AccelerateOnly 22% of organizations have successfully scaled AI across multiple business units or adopted an AI-first approach according to a survey by Gartner, Inc., a business and technology insights company. Roughly 11% of organizations are entirely unaware of what their function spent on AI in 2025.A Gartner survey from January-April 2026 of 1,303 respondents from organizations with enterprisewide annual revenue of at least $50 million in fiscal year 2025 found that, despite this lack of success, investment in AI continues to accelerate. Eighty-five percent of functional leaders plan to increase spending in 2026 after dedicating an average of 12% of their functional budgets to AI in 2025.“This lack of financial visibility heightens risk as spending accelerates,” said Tina Nunno, Distinguished Vice President & Gartner Fellow. “Without disciplined measurement tied directly to business outcomes, organizations risk wasted resources and unmet expectations.”High performers – companies that constantly track ROI of AI initiatives, treat AI as a portfolio of value and regularly assess project performance and reallocate or discontinue underperforming initiatives – reported positive returns in 81% of their AI initiatives, while low performers reported they did not know the rate of return for 29% of AI initiatives.Furthermore, most functions are prioritizing productivity gains over bold transformation or new revenue streams. Productivity was a key target outcome for 75% of functional leaders (see Figure 1), and it commands approximately 30% of functional AI spend on average, nearly twice the percentage of the next highest objective.Figure 1: Productivity Is the Top Outcome Functions Target with AI (Percentage of Leaders, Multiple Responses)Source: Gartner (August 2026)“Functional leaders who track every dollar spent by outcome category, such as productivity, revenue growth, risk mitigation, or innovation, are best positioned to defend investments and reallocate quickly if their projects underperform,” said Nunno. “Without disciplined measurement tied directly to business objectives, organizations open themselves up to misallocation and missed opportunities as scrutiny intensifies.”Popular AI Use Cases Rarely Deliver the Highest ReturnsThe most widely pursued AI use cases are rarely the ones delivering the highest positive returns. Functional leaders are frequently falling into the trap of prioritizing “popular” or heavily hyped AI applications over those that generate tangible value.When contrasting the top three use cases pursued with AI versus the top three use cases with the largest proportion of leaders reporting positive returns, a clear disconnect emerges for IT. Cybersecurity threat detection and response (54%), IT service desk automation (54%) and automated code generation and refactoring (44%) were all identified as the most frequently pursued AI use cases by C-suite leaders. However, intelligent IT asset and cost optimization (40%), synthetic data generation (28%) and automated code generation and refactoring (23%) were identified as the top three AI use cases with positive returns.“Organizations are seeing the greatest quantifiable value from less common, strategically selected use cases that are closely aligned to their unique business needs,” said Nunno. “CEOs and CIOs must pinpoint which AI use cases truly drive positive financial returns, so they can set clear, effective targets for every function and leader.”Additional Insights AvailableGartner clients can read more in C-Suite AI Survey: How High AI Performers Differ From the Rest and C-Suite AI Survey Reveals Misdirected Bets and Overlooked Wins.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/XpoAdditional analysis on AI return on investment will be presented during Gartner IT Symposium/Xpo, the world's most important conference for CIOs and other IT executives. Gartner analysts and attendees will explore how to become agents of change in their organizations and harness AI for successful digital transformation. Follow news and updates from the conferences on X and LinkedIn using #GartnerSYM, and on the Gartner Newsroom.Upcoming dates and locations for Gartner IT Symposium/Xpo include:September 14-16, 2026 | Gold Coast, AustraliaOctober 19-22, 2026 | Orlando, FLNovember 4-6, 2026 | Yokohama, JapanNovember 9-12, 2026 | Barcelona, SpainNovember 16-18, 2026 | Kochi, IndiaAbout Gartner for AI LeadersGartner for AI Leaders provides insights, guidance and tools to help heads of AI accelerate the implementation of enterprisewide AI initiatives and deliver measurable business value. Additional information is available at https://www.gartner.com/en/information-technology/products/gartner-for-ai-leaders.Follow news and updates from Gartner for AI Leaders on X and LinkedIn using #GartnerAI. 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.

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Palo Alto Networks Introduces Frontier AI Critical Defense Program

Bangalore, September 2026 : A collaboration of leading technology providers to protect critical infrastructure against the rapid rise of AI-discovered vulnerabilitiesPalo Alto Networks (NASDAQ: PANW) today announced the Frontier AI Critical Defense Program, a first-of-its-kind initiative to protect critical infrastructure from AI-driven exploits. Through the program, leaders across operational technology (OT), healthcare, commercial software and open-source communities coordinate with Palo Alto Networks to deploy proactive "virtual patches,” neutralizing vulnerabilities at the network-level before attackers can exploit them.Palo Alto Networks recently used Frontier AI models to uncover more than 14,000 previously unknown vulnerabilities in open source software, underscoring how AI could enable threat actors to automate cyberattacks and shrink attack timelines. Yet, critical infrastructure operators, constrained by strict uptime and safety testing, cannot patch at AI speed. This mismatch creates a significant exposure gap, leaving essential systems vulnerable long before software fixes can be safely deployed.True defense at AI speed requires joint action. This program builds on our existing collaborations with IBM and Red Hat (as part of Lightwell), Microsoft (as part of MAPP) and OT leaders like Siemens and the Idaho National Laboratory (as part of the OT Threat Research Lab).Today, the collaboration is expanding to include Anthropic, OpenAI, OT leaders like Mitsubishi and Axis Communications, industry consortiums for sharing risk information like Analysis and Resilience Center for Systemic Risk and Health-ISAC, OT research organizations like the independent, non-profit Energy R&D Institute (EPRI) and OSS initiatives like Akrites (an initiative from the Linux Foundation).Palo Alto Networks Frontier Virtual Patching puts these insights into action to deliver proactive protection for joint customers. By combining Frontier AI threat discovery with trusted vulnerability intelligence, it delivers rapid network-level patches while safeguarding sensitive vulnerability details from attackers.Lee Klarich, Chief Product Officer, Palo Alto Networks“In the age of Frontier AI, the traditional, reactive race to build and deploy software patches before adversaries exploit a flaw is a losing battle. Protecting critical infrastructure requires a structural shift from isolated patching to collective, proactive intelligence. Through initiatives like our Frontier AI Critical Defense Program, we can neutralize threats at the network layer before they are weaponized.”Help safeguard critical infrastructure by joining the expanding Frontier AI Critical Defense Program, today. Visit the website to learn more on how to get involved, or explore Palo Alto Networks broader Frontier AI Defense Initiative.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 70,000+ customers and powered by Unit 42 threat intelligence, our AI-driven platforms eliminate complexity, empowering enterprises to modernize with confidence and securing the speed of innovation. Explore the future of security at www.paloaltonetworks.com.Forward-Looking StatementsThis release contains forward-looking statements with respect to Palo Alto Networks that involve risks, uncertainties and assumptions, including, without limitation, statements regarding the benefits, impact, or performance or potential benefits, impact or performance of Palo Alto Networks products, technologies, and integrations or future products, technologies, and integrations. These forward-looking statements are not guarantees of future performance, and there are a significant number of factors that could cause actual results to differ materially from statements made in this release. Palo Alto Networks identifies certain important risks and uncertainties that could affect its results and performance in its most recent Annual Report on Form 10-K, its most recent Quarterly Report on Form 10-Q, and its other filings with the Securities and Exchange Commission from time-to-time, each of which are available on Palo Alto Networks' website at investors.paloaltonetworks.com and on the SEC's website at www.sec.gov. All forward-looking statements in this release regarding Palo Alto Networks are based on information available to Palo Alto Networks as of the date hereof, and Palo Alto Networks does not assume any obligation to update the forward-looking statements provided to reflect events that occur or circumstances that exist after the date on which they were made.

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Securonix Expands India Footprint, Strengthens Partnership with Orient Technologies Ltd. to Drive Mid-Market Growth

Bangalore, September 2026 :Strategic investment of USD 5 millionPlans to hire about 100 cybersecurity professionals12% growth in Customer FootprintSecuronix, Inc., a six-time Leader in the Gartner® Magic Quadrant™ for SIEM, today announced the strategic expansion of its partnership with Orient Technologies, a leading technology solutions provider, further strengthening market presence and strategic footprint across India. Orient Technologies is an approximately USD 85 million technology company with significant investments in cybersecurity and plans to invest USD 5 million in its partnership with Securonix over the next two years. It has evolved from its earlier role as a Securonix MSPP to become the exclusive Value-Added Distributor (VAD) and key routing technology partner across India and the US, significantly expanding Securonix’s global channel strategy.Orient is also strengthening its cybersecurity capabilities and delivery infrastructure through its full-fledged SOC Excellence Center in Mumbai, with plans to expand its team by adding around 100 skilled cybersecurity resources.Organizations across India are rapidly adopting AI while confronting adversaries that are using the same technology to increase the speed, scale, and sophistication of attacks. Security teams must contend with faster-moving threats while also determining how to introduce AI safely and effectively into their own operations. The expanded Securonix and Orient Technologies partnership brings together Securonix Unified Defense SIEM with Agentic AI and Orient Technologies’ implementation, integration, and security operations expertise to help enterprises modernize detection, investigation, and response with the governance and human oversight required for enterprise environments.The partnership will also expand Securonix’s reach across India’s growing mid-market segment, giving more organizations access to advanced security operations capabilities backed by local deployment, services, and support expertise.“AI is changing the operating environment for security teams on both sides of the equation. Adversaries have access to tools that can help them move faster, while enterprises are under pressure to use AI responsibly to improve their own defenses,” said Toby Weiss, CEO, Securonix. “Our expanded partnership with Orient Technologies gives customers in India access to Securonix technology alongside the local expertise required to deploy it effectively, integrate it into existing environments, and build security operations that can evolve as those threats change.”Under the expanded partnership, Orient Technologies will serve as Securonix’s exclusive value-added distributor and joint go-to-market partner in India, supporting customers and regional partners across the security operations lifecycle. Orient Technologies will connect Securonix with regional partners and enterprises while providing implementation and integration services, professional services, ongoing technical support, and SOC enablement.The expanded relationship is designed to extend well beyond initial technology deployment. Orient Technologies will work with customers and partners to operationalize and optimize their Securonix environments, develop the skills and processes required to support modern SOC operations, and help organizations maintain those capabilities over the long term.Securonix Unified Defense SIEM with Agentic AI brings detection, investigation, response, and AI-powered security operations together within a cloud-native platform. Through a human-in-the-loop philosophy, Securonix helps security teams apply AI across analyst workflows while maintaining governance, explainability, and control. The approach enables organizations to improve SOC efficiency and respond to changing threats without sacrificing the oversight required for critical security decisions.For Indian enterprises, combining those capabilities with Orient Technologies’ regional expertise provides a more complete path from technology adoption to sustained security operations. Customers can draw on local implementation, integration, professional services, technical support, and SOC expertise as they modernize environments and introduce AI into security workflows."Our collaboration with Securonix over the past several months has given rise to strong momentum," said Ajay Sawant, Chairman & Managing Director, Orient Technologies Limited. "By combining Securonix's AI-powered security platform with our managed security expertise, we are enabling organizations to build more resilient and efficient Security Operations Centers across India and the US.” Sawant added, “Our shared goal is to expand our customer footprint by 12%, strengthening our managed security services portfolio. This expanded partnership will help customers achieve measurable improvements in response times, analyst productivity, and overall operational efficiency.”The expanded partnership also strengthens the Securonix channel ecosystem in India. As the exclusive VAD and joint go-to-market partner, Orient Technologies will help regional partners build Securonix capabilities, support customer opportunities, and extend the technical and services expertise available throughout the market.With organizations facing increasingly complex security environments and increased AI-driven threats, the partnership gives enterprises a combination of technology, local expertise, and ongoing operational support designed to help them strengthen detection and response, improve SOC efficiency, and adopt AI within security operations with appropriate governance and human oversight.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, whileenabling 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.About Orient Technologies LimitedFounded in 1997, Orient Technologies Limited is an India-headquartered enterprise technology solutions and services company. The Company provides a broad portfolio of technology capabilities spanning Cybersecurity, Cloud Services, Digital Transformation, Data Center Solutions, End User Computing and Infrastructure Management Services.Headquartered in Mumbai, Orient Technologies serves organizations across banking and financial services, pharmaceuticals and healthcare, manufacturing, government, mid-market businesses, media and communications, real estate and ITeS.

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Dynatrace to Acquire AI Observability Leader Arize

Bangalore, September 2026 : Acquisition will provide the industry’s mostcomprehensive AI development lifecycle solutionDynatrace (NYSE: DT), the leading AI-powered ob?ervability platform, ha? ?igned a de?nitive agreement to acquire Arize in a ca?h and ?tocktran?action valued at$915 million. Together, Dynatrace and Arize will enable cu?tomer? to evaluate, operate, and continuou?ly improve AI application? from development throughproduction at ?cale.AI Ob?ervability ?pan? the full lifecycle of an AI application, from experimentation and evaluation before relea?e, to tracing how LLM?, agent?, and orche?tration layer? behave in production. It connect? that behavior with application performance, GPU utilization, infra?tructure health, and bu?ine?? proce??e?. AI Ob?ervability deliver? the in?ight? AI engineer?, developer?, SRE?, and platform team? need to debug and optimize AI behavior and keep AI-powered ?ervice? accurate, reliable, and co?t-e?cient. It i? al?o one of the fa?te?t-growing categorie? in ob?ervability, projected to exceed $10 billion by 2030 and i? central to Dynatrace’? growth ?trategy.“AI i? now movinginto production at incredible ?peed,and the re?ulting AI Ob?ervability market opportunity i? enormou?. Dynatrace anticipate? cu?tomer?’ need? at critical in?ection point?, and thi? i? one of the mo?t ?igni?cant in our hi?tory,” ?aid Rick McConnell, CEO, Dynatrace. “Acquiring Arize advance? our AI ob?ervability leader?hip, accelerate? our roadmap, enhance? our long-term growth pro?le, expand? our reach with the developer community, and add? an incredible AI-?r?t team to Dynatrace.”Today, AI ?oftware delivery i? fragmented. AI engineering team? evaluate model and agent behavior in one ?et of tool?, whilethe team? runningthe application? and infra?tructure beneath them work in another. There i? often no ?hared ?y?tem connecting how an AI application i? evaluated to how it behave? in production, ?o when output quality ?lip? or a cu?tomer tran?action fail?, the cau?e can ?it anywhere from the prompt to the infra?tructure, and there i? little feedback to developer?. Dynatrace’? acqui?ition of Arize will eliminate that fragmentation and provide end-to-end ob?ervability from development to production.Arize i? the category leader in AI Ob?ervability, purpo?e-built for AI and agent? and tru?ted by Fortune 500 enterpri?e? and AI-native builder? alike. Arize combine? a ?trong developer brand and thriving open ?ource community with the enterpri?e-grade framework? that team? need to detect hallucination?, mea?ure output quality, and continuou?ly validate AI behavior. It i? the only platform that i? ?imultaneou?ly OSS-native and ?tack-agno?tic acro?? every major AI framework and model provider. Thi? make? Arize a clear choice for developer? acro?? the AI lifecycle.“We foundedArize becau?e AI team? neededa way to know their agent? were actually working correctly, not ju?t running,” ?aid Jason Lopatecki, CEO, Arize. “Joining Dynatrace will enable u? to take that mi??ion much further. Together, we can bring AI evaluation and ?oftware ob?ervabilityinto an end-to-end ?y?tem, enablingteam? to build more ambitiou? AI application? fa?ter. Thi? i? the kind of innovation that only happen? when two companie? with highly complementary ?olution? and go-to-market model? come together,?etting a new bar for what AI Ob?ervability can deliver for the entire indu?try.”Following the clo?ing of the propo?ed acqui?ition, Dynatrace cu?tomer? will gain:Continuou? coverage acro?? the AI lifecycle, from experimentation and deployment readine?? through runtimeevaluation and ob?ervability, with automated feedbackloop? that ?upport ongoing improvement.Uni?ed context for under?tanding AI behavior and bu?ine?? impact, connecting model and agent evaluation with application performance, infra?tructure health, and bu?ine?? outcome?.An enterpri?e data foundation for AI workload?, powered by exabyte-?cale analy?i? and AI lakehou?e capabilitie?.For developer?, the combination will deliver a direct path from experimentation to enterpri?e-grade deployment, backed by Arize’? tru?ted ?tanding in the open-?ource AI community. A? AI tooling deci?ion? increa?ingly ?tart with developer?, that tru?t open? a direct path to the ob?ervability and reliability capabilitie? that Dynatrace alreadybring? to enterpri?e cu?tomer?.Transaction DetailsThe tran?action i? expected to clo?e later thi? quarter or early in Dynatrace’? third quarter, ?ubject to regulatory review? and other cu?tomary clo?ing condition?. Under the term? of the agreement, Dynatrace will acquire Arize for $915 million, ?ubject to cu?tomary adju?tment?, con?i?ting of approximately $815 million in ca?h a? well a? replacement equityaward? for Arize employee? joining Dynatrace. Dynatrace plan? to fund the tran?action through ca?h on hand and/or it? exi?ting credit facility.Arize’? two founder?, Ja?on Lopatecki and Aparna Dhinakaran, will both join Dynatrace at clo?ing. Ja?on will continue to lead the Arize team and will report directlyto Rick McConnell.Expected Financial ImpactDynatrace expect? the tran?action to be approximately 200 ba?i? point? accretive to ARR growth and 175 ba?i? point? dilutive to Non-GAAP Operating Margin for ??cal 2027. We expect togenerate incremental operating margin expan?ion from ??cal 2027 level? into ??cal 2028 and beyond. The tran?action i? not expected to materially impact the company’? ?econd quarter ??cal 2027 guidance or it? ongoing ?hare repurcha?e program.AdvisorsJ.P. MorganSecuritie? LLC i? acting a? ?nancial advi?orto Dynatrace, and Goodwin ProcterLLP i? acting a? it? legalcoun?el. Qataly?t Partner? i? acting a? exclu?ive ?nancial advi?or to Arize and DLA Piper LLP i? acting a? it? legal coun?el.Investor Conference Call DetailsDynatrace will hold a conference call for inve?tor? and analy?t? at 8:30 a.m. Ea?tern Time on Augu?t 13, 2026 to di?cu?? the ?trategic rationale of the propo?ed acqui?ition. To acce?? the conference call from the U.S. and Canada,dial (866) 405-1247,or internationally, dial (201) 689-8045 with conference ID 13762249. The call will al?o be available live via webca?t on the company’? web?ite, ir.dynatrace.com.An audioreplay of the call will be available until 11:59 p.m. Ea?tern Time on Augu?t27, 2026 by dialing (877) 660-6853 from the U.S. or Canada,or for international caller? by dialing (201) 612-7415 and entering conference ID 13762249. In addition,an archived webca?t will be available at ir.dynatrace.com.About DynatraceDynatrace i? advancing ob?ervability for today’? digital bu?ine??e?, helping to tran?form the complexity of moderndigital eco?y?tem? into powerful bu?ine??a??et?. By leveraging AI- powered in?ight?,Dynatrace enable? organization? to analyze, automate,and innovate fa?terto drive their bu?ine?? forward. To learn more about how Dynatrace can help your bu?ine??, vi?it www.dynatrace.com, vi?it our blog and follow u? on LinkedInand X @ dynatrace.About ArizeArize i? a uni?ed AI ob?ervability and LLM evaluation platform that help? team? develop and maintain more ?ucce??ful AI. Arize’? automated monitoring and ob?ervability platform allow? team? to quickly detect i??ue? when they emerge, trouble?hoot why they happened, and improve overall performance acro?? both traditional ML and generative u?e ca?e?. Arize i? headquartered in San Franci?co, CA.Cautionary Language Concerning Forward-Looking StatementsThis press release includes certain “forard-looking statements” ithin the meaning of the Private Securities Litigation ReformAct of 1995, including statements regarding the expectedbene?ts of the proposed acquisition, capabilities expected to be available to organizations from using Dynatrace and Arize folloingthe closing of the proposedacquisition, expected futuregroth in the AI Observability market segment and its expected size in 2030, the expected timing for closing of the proposedacquisition, Dynatrace’s plans to fund the proposed acquisition, and the expected ?nancial impact of the proposed acquisition. These forard-looking statements include all statements that are not historical facts and statements identi?ed by ords such as “ill,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and ords of similar meaning.These forard-looking statements re?ect our current vies about our plans, intentions, expectations, strategies, and prospects, hich are based on the information currently available to us and on assumptions e have made. Although e believe that our plans, intentions, expectations, strategies, and prospects as re?ected in or suggested by those forard-looking statements are reasonable, ecan give no assurance that the plans, intentions, expectations, or strategies ill be attained or achieved. Actual results may differ materially from those described in the forard-looking statements and ill be affected by a variety of risks and factors that are beyond our control, including our ability to successfully complete the Arize acquisition and integrate the nely acquired business and offerings, the risks set forth under the caption “Risk Factors” in our most recent Annual Report on Form 10-K, subsequent QuarterlyReports on Form 10-Q, and our other SEC ?lings.We assume no obligation to update any forard-lookingstatements contained in this document because of ne information, future events, or otherise.Non-GAAP Financial MeasuresIn addition to disclosing ?nancial measures prepared in accordance ith GAAP, this press release contains a non-GAAP?nancial measure as de?ned by Regulation G, non-GAAP operating margin. We use this non-GAAP?nancial measure for ?nancial and operational decision-making purposes, and as a means to evaluateperiod-to-period comparisons and liquidity. We believe that this non-GAAP ?nancialmeasure provides useful information about our operatingresults, enhances the overall understanding of past ?nancial performance and allosfor greater transparency ith respect to metricsused by our management in its ?nancial and operational decision-making. The presentation of the non-GAAP?nancial measure is not intended to be considered in isolation or as a substitutefor, or superior to, the ?nancial information prepared and presented in accordance ith GAAP. Our non-GAAP?nancial measure may not provide information that is directly comparable to similarly titled metrics provided by other companies. Non-GAAP ?nancial measures and Annual Recurring Revenueare de?ned in our press release dated August 5, 2026. A reconciliation of non-GAAP operating margin guidance to the most directly comparable GAAP measure is not available ithout unreasonable efforts on a forard-looking basis due to the high variability,complexity and lo visibility ith respect to the charges excluded from this non-GAAP measure; in particular, the measures and effects of share-based compensation expense, employer taxes and tax deductions speci?c to equity compensation aards that are directly impacted by future hiring, turnover and retention needs, as ell as unpredictable ?uctuations in our stock price. We expect the variability of the above charges to have a signi?cant, and potentially unpredictable, impact on our futureGAAP ?nancial results.