EDITORIAL DESK

EDITORIAL DESK

F5 Distributed Cloud Bot Defense adds device intelligence and agentic AI detection to guard against automated account abuse

Bangalore, September 2026 : New multi-signal risk decisioning, persistent device identification, and agentic AI protections in F5 Distributed Cloud Bot Defense give enterprises greater visibility and controlF5 (NASDAQ: FFIV), the[AT1] global leader in delivering and securing every app and API, today announced enhancements to F5 Distributed Cloud Bot Defense, introducing new device intelligence capabilities and specialized agentic AI protections. Together, these capabilities bring persistent device context and continuous risk decisioning to application security, giving organizations the real-time agent management designed to help welcome trusted digital interaction while helping stop automated fraud and abuse.These updates arrive as AI agents emerge as a key channel for interacting with websites, mobile applications, and customer portals. Unlike basic web crawlers or simple automated scripts, AI agents perform autonomous, multi-step actions on behalf of consumers such as executing transactions in agent-based commerce, booking travel, and conducting banking operations. Because these agents interact directly with APIs at machine speed, first-generation bot management tools built around rigid “bot or not” rules are quickly overwhelmed. Static, request-level controls can no longer distinguish between authorized AI driving legitimate business and malicious bots attempting fraud, while blunt IP blocking or CAPTCHAs risk shutting down revenue-generating AI channels.F5 addresses this challenge by delivering advanced bot defense as a core component of its web application and API protection (WAAP) offerings, integrated with the F5 Application Delivery and Security Platform (ADSP). Rather than relying on single-request inspection, F5 correlates behavioral, device, and client-integrity telemetry across interactions. This multi-signal approach establishes trust at critical login, web, and API connections without disrupting legitimate users or authorized AI agents.“Agentic AI is breaking the old security model, where automated traffic was treated as inherently malicious,” said Kunal Anand, Chief Product Officer at F5. “The answer is not to block AI. It is to understand which agents and devices can be trusted, what they are trying to do, and how risk changes across every interaction. By bringing persistent device intelligence and real-time risk decisioning into the active data path, F5 helps organizations stop fraud and account abuse without closing the door on legitimate users, trusted AI agents, or new digital business models.”Key enhancements to F5 Distributed Cloud Bot Defense include:Persistent device identification: Identifies and tracks devices across multiple sessions and accounts, exposing hidden abuse patterns such as multi-account access, credential stuffing, and account takeover.Real-time device risk scoring: Evaluates client integrity signals in real time to detect suspicious environments (including emulators, device spoofing, and tampering). Risk-based workflow enforcement: Enables customers to set dynamic policy actions (allow, step-up challenge, rate-limit, or block) intended to help reduce disruptive CAPTCHA friction and false positives for real users and approved automation.Agent-aware policy framework: Classifies and manages traffic from humans, trusted AI agents, and malicious bots within a single policy framework on the F5 ADSP, helping organizations adopt AI-driven workflows with confidence. AvailabilityNew agentic AI protections for F5 Distributed Cloud Bot Defense are available today. The device intelligence functionality is currently expected to reach limited availability for F5 Distributed Cloud customers in the fourth quarter of calendar year 2026, with broader availability expected thereafter over the coming months.Supporting resourcesBlog: Who can you trust in the age of AI agents?Product page: F5 Distributed Cloud Bot DefenseF5 virtual security summit: Security for the post-Mythos worldAnalyst report: Protect agentic commerce to prevent abuse and preserve revenueAbout F5 F5, Inc. (NASDAQ: FFIV) is the global leader that delivers and secures every app. Backed by three decades of expertise, F5 has built the industry’s premier platform F5 Application Delivery and Security Platform (ADSP) to deliver and secure every app, every API, anywhere: on-premises, in the cloud, at the edge, and across hybrid, multicloud environments. F5 is committed to innovating and partnering with the world’s largest and most advanced organizations to deliver fast, available, and secure digital experiences. Together, we help each other thrive and bring a better digital world to life.For more information visit f5.comExplore F5 Labs threat research at f5.com/labsFollow to learn more about F5, our partners, and technologies: Blog | LinkedIn | X | YouTube | Instagram | Facebook Forward-looking statementsThis press release contains forward-looking statements, including regarding the expected availability, timing, functionality, and benefits of F5 Distributed Cloud Bot Defense and device intelligence features, made under the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Actual results could differ materially due to the risks described in F5’s SEC filings, including its most recent Forms 10-K and 10-Q.F5 undertakes no obligation to update these statements.F5 and F5 ADSP are trademarks, service marks, or tradenames of F5, Inc. or its affiliates in the U.S. and other countries. All other product and company names herein may be trademarks of their respective owners.

EDITORIAL DESK

87% of small and medium sized businesses in APAC encountered cybersecurity incidents over the past year

Bangalore, September 2026Kaspersky warns that attackers are currently deploying the same methods against smaller businesses as they do against large enterprises. To help strengthen corporate defences, Kaspersky is releasing new recommendations alongside findings from a global survey by its Internal Research Center, which found that just 13% of businesses with fewer than 500 employees in APAC region avoided a cyber incident in the past year.Vietnam encountered highest incidents in the region at 97%, followed by Malaysia (95%), Indonesia (92), and India (87%). Thailand and China reported incidents lower than regional average at 82% and 67% respectively.The illusion that small and mid-sized businesses (SMBs) can fly under the radar of cybercriminals is becoming obsolete. As smaller organizations digitalize, and the cost of launching cyberattacks plummets, threat actors are increasingly shifting their focus toward growth-stage companies, weaponizing emerging technologies and exploiting all possible cybersecurity gaps.Kaspersky, a global cybersecurity and digital privacy company, surveyed IT security specialists across SMBs and enterprises in 18 countries[1] to provide insights into the most critical risks facing businesses today.The study reveals that, on average, organizations in APAC experienced three different types of security incidents over the past year. For SMBs, software vulnerability exploitation (20%), phishing (19%), and mass malware attack (18%) top the list of the most frequently encountered breaches. Even though zero-day exploits ranked lowest, this extreme dangerous attack was still encountered by 6% of organizations.Respondents in APAC were also asked to select the top five factors that elevate the risk of successful cyberattacks in organizations. The two most frequently chosen factors by SMBs were people-related: lack of security awareness among non-IT employees (26%) and lack of expertise among IT security staff (24%). Additionally, respondents selected outdated software or hardware (23%), lack of regular risk assessments (22%) and lack of necessary security solutions (22%) as key issues.To address rising threats and internal challenges, most APAC companies plan to enhance their IT security function (75%), and 78% of SMBs have already increased their cybersecurity budgets this year. Almost half (48%) allocated additional funds to expand their IT and IT security teams, while nearly one-third (32%) did so to migrate to advanced IT security solutions such as XDR, NDR, and SIEM.“The current reality when companies of all sizes can be targeted with all possible methods urges business to reconsider their security posture. Sophisticated attacks easily bypass fragmented defenses, requiring advanced tools and a skilled team to counter them. However, growing companies are often held back by budget constraints and the global InfoSec talent shortage,” says Ilya Markelov, Head of Unified Platform Product Line at Kaspersky. “That is why modern cybersecurity solutions must deliver more with less. Instead of introducing complex new tools that demand hard-to-find, expensive expertise, vendors should focus on cutting complexity. When designing our products for SMBs, our goal is to provide advanced protection that is easy to adopt, simple to manage, and able to grow alongside the business, helping organizations strengthen their security without adding unnecessary complexity or stretching their budget”.“SMBs across APAC are no longer the collateral damage or secondary target. Our survey shows that they are prime victims for modern threat actors who use the exact same enterprise-level tactics,” says Adrian Hia, Managing Director for Asia Pacific at Kaspersky. “However, the fact that the majority of SMBs step up their cybersecurity budgets indicates a strong signal that business leaders understand the importance of cybersecurity. The goal ahead is not about burdening teams with overly complex tools, but about securing essential systems, empowering non-IT employees, and deploying managed security solutions that scale smoothly as businesses grow.”“As a company that helps clients adopt a security maturity model to navigate current digital trends, we see that the cyber challenge is intensifying. Attackers increasingly leverage on artificial intelligence, driving up both the volume and complexity of today's threats. Also, credential protection has become paramount as attackers exploit security gaps to harvest high-value logins for targeted attacks that disrupt business operations or cause data theft. Consequently, raising importance of educating non-technical users who remain one of the weakest links,” comments Maximiliano Allo, Director at Custom IT[2]. “Kaspersky offers a wide range of suites, enabling companies with smaller budgets or limited staff to effectively counter these threats. Their SMB suites feature robust automation and a centralized management console, delivering enterprise-grade security without requiring significant time investments.”To protect against emerging threats, Kaspersky provides the following recommendations for small and medium businesses:Establish internal processes: implement strict access rules for all corporate resources and cloud services, ensuring IT promptly revokes permissions during employee offboarding. Second, integrate automated data backups into daily operations to secure critical information against emergencies and ransomware. Finally, back these technical controls with continuous human risk management: simplify cybersecurity guidelines for safe browsing and password hygiene and require IT approval for all new software. These actions will allow to minimize related cyber incidents such as insider threats, use of weak or stolen credentials and exploitation of lost or stolen IT assets.Protect your people: Conduct dedicated training to teach staff how to detect and address potential threats, including deepfakes and vishing and track their educational progress. Organizations can achieve this with the Kaspersky Automated Security Awareness Platform through interactive online modules and simulated phishing campaigns that build sustainable cyber hygiene habits across all teams.Choose the right technology defenses: Implement specialized cybersecurity solutions that fit your budget, size, and industry requirements, with an emphasis on efficiency, versatility, convenience of use and scalability.Kaspersky Small Office Security Premium is a great choice for micro-businesses below 50 employees. It is an easy-to-use solution that protects against advanced threats, including malware and ransomware, provides digital hygiene tools such as password management and data backup and even includes security awareness training for employees.Companies with more mature IT expertise should consider Kaspersky Next Optimum, which provides robust real-time prevention, threat visibility, as well as advanced detection and response capabilities with Next EDR and XDR Optimum. Organizations that need additional expertise without expanding their in-house security team can choose Kaspersky Next MXDR Optimum, combining XDR capabilities with continuous monitoring, expert threat analysis and incident response guidance delivered by Kaspersky analysts.Protect your business against email-borne threats, such as phishing, business email compromise, invoice payment fraud, etc. Kaspersky Security for Mail Server, a comprehensive email security platform that offers robust, multi-layered protection at mailbox and gateway levels, can help with this. Powered by machine learning and leading global threat intelligence, it effectively addresses all mail security challenges.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.[1] 1800 interviews were conducted globally with representation across 18 countries: Brazil, Mexico, Colombia, France, Germany, Italy, Spain, India, Indonesia, Malaysia, China, Thailand, Vietnam, Egypt, South Africa, Saudi Arabia, Turkey, Russia.[2] Custom IT S.A. - IT services and cybersecurity consulting firm based in Buenos Aires, Argentina.

EDITORIAL DESK

Netskope enables security teams to stop risky AI agent actions before they execute

Bangalore, September 2026 : Part of the newly renamed Netskope Skylight AI Security suite, Agent Action Control classifies agentic actions by risk and blocks the ones that matter before they executeNetskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, today announced Netskope Skylight Agent Action Control, a new capability that classifies every action an AI agent attempts, and applies granular controls to stop high-risk actions before they execute. The capability meets security teams’ need for a policy-based way to govern, rather than react to, what autonomous agents are permitted to do.Agent Action Control arrives as Netskope renames its AI security portfolio to better communicate the company’s broad capabilities across AI security. Formerly Netskope One AI Security, Netskope Skylight is the new family name for the suite of Netskope AI security products including Netskope Skylight AI Command Center, Netskope Skylight AI Guardrails, Netskope Skylight AI Gateway, Netskope Skylight Agentic Broker, and Netskope Skylight AI Red Teaming.Netskope Skylight Agent Action ControlToday, 91% of organisations cannot stop a risky agent action before it executes, and 54% reported a confirmed or suspected AI agent security incident in the past year. With Netskope Skylight Agent Action Control, teams can more effectively govern what an agent is attempting to do thanks to: Control over nine different types of action: To enable granular policy definition, every agent action is classified into one of nine intent-based categories prior to execution. These include, access control changes, configuration changes, credential and secret manipulation, data destruction, infrastructure provisioning, potential data exfiltration, potential external communication, remote code execution, or source code change.Risk-based policy profiles by agent type: Block, allow or alert based on low, medium, high or critical risk categories, with the option to send a default or custom notification to the end-user for user coaching when the action is blocked. Profiles attach to specific agents, so a coding assistant and a chat application do not have to operate under the same rules.Granular policy alerts: Every action is logged, with security teams able to filter policy alerts by cost exposure, source code changes, infrastructure updates, or external communication to align investigation effort with organisation risk prioritisation.No new console and no new agent: Netskope Skylight Agent Action Control runs on network traffic the Netskope platform already inspects, so security teams gain enforcement over agent behaviour without deploying a separate tool or standing up a second console.The result is a policy that governs what an agent is allowed to do before it acts. When a coding agent working from a vague prompt attempts to delete a production repository, for example, the action is classified as data destruction at a critical risk level, and the call is stopped before it reaches the repository. The security team gets a record of the attempt instead of an incident report. This approach provides governance and controls over agents at risk of “authority drift”, or whose harness or instructions are too vague or permissive."AI agents tend to act first and explain later, and most security teams only learn what happened after it is done,” said John Martin, Chief Product Officer, Netskope. “Agent Action Control puts a decision in front of every action an agent takes, so a team can say yes to agentic AI without saying yes to the one action that could cost them a production system."“As enterprises accelerate adoption of AI agents, we’re finding that probabilistic controls are sometimes insufficient to protect the enterprise, but even occasional failure is unacceptable,” said Dr. Grace Trinidad, Research Director for AI Security and Trust at IDC. “These hardened, policy-based, deterministic controls are the backstop that prevents AI agents from causing an enterprise incident.”Netskope Skylight Agent Action Control will be available at the end of the current quarter. Head over to The Lens (Netskope’s blog) to read more about Skylight, or to take a deeper look at Netskope Skylight Agent Action Control.# # #About NetskopeNetskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, addresses the needs of both security and networking teams by providing optimised access and real-time, context-based security for the AI ecosystem inclusive of agents, applications, tools, LLMs, people, devices, and data. Thousands of customers, including more than 30% of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications — providing security and accelerating performance without trade-offs.

EDITORIAL DESK

Rubrik Unveils Rubrik Code Guardian, Harnessing Anthropic’s Claude Mythos 5 to Red-Team Code and Prioritize Cyber Risks

Bangalore, September 2026 : Frontier AI applied to secure, air-gapped code repositories accelerates testing of validated vulnerability chains and recommending remediation of potential issuesNEW DELHI/BANGALORE – September 16, 2026 – As autonomous agents make the digital world more dangerous, Rubrik (NYSE: RBRK), the Security and AI Operations Company unveils Rubrik Code Guardian, a custom Claude Mythos 5 harness that red-teams customers’ code based on an air-gapped copy of their repository.“Rubrik is one of the partners we are working with to put Claude Mythos 5's cyber capabilities in defenders' hands, so they can find and validate attack paths before attackers do," said Michael Moore, Cybersecurity lead at Anthropic. “Rubrik will use the model to test code faster and at far greater scale, and to bring cyber resilience up to the speed of AI.”The new service uncovers and prioritizes the multi-step vulnerability chains an attacker would actually exploit, validates each for exploitability, and turns confirmed critical issues into tracked remediation.“Frontier models are advancing at a fast pace. In the wrong hands, these models can be used to discover, chain, and exploit vulnerabilities at machine speed,” said Arvind Nithrakashyap, Co-Founder and Chief Technology Officer at Rubrik. “To move just as fast, we are using frontier AI to scale vulnerability detection faster than our traditional code scanning tools. We took Anthropic’s powerful model and built a Rubrik software harness to test on our code. We are using that experience and success now to give customers access to the harness, with a secure, isolated environment, which means we can run analysis of their code away from live repository and production systems.”The Next Milestone in Agentic Cyber ResilienceRubrik Code Guardian makes critical enterprise systems more resilient to even the most advanced frontier AI powered attacks. The product embeds and harnesses Anthropic’s Claude Mythos 5 into a service that operates directly on air-gapped copies of source code, enabling frontier model level vulnerability analysis while minimizing risk and impact on production environments.Rubrik Code Guardian proactively secures the core intellectual property that powers modern businesses:Red-Team Customer Code, Safely: Runs Claude Mythos 5 through Rubrik’s custom security harness against a secure clone of the immutable, air-gapped copy never against the live repository or production environment.Attack Chains, Not Alerts: Reasons across files, services, authentication patterns, and cloud boundaries to surface previously undetectable vulnerabilities, even “chained vulnerabilities” that advanced AI attacks now exploit.Validated Findings, Prioritized by Business Criticality: Validates attack chains for real exploitability before surfacing them and prioritizes findings by exploitability, blast radius, and business criticality.Accelerated Remediation: Pushes confirmed critical issues into developer workflows through Jira or GitHub issues with file-level remediation guidance.Built-In Code Resilience: Maintains recovery workflows so organizations can restore a known-good codebase if a security event or bad build occurs.Rubrik Code Guardian is currently accepting select design partners for private preview.To learn more about Rubrik Code Guardian and Rubrik's ongoing work with Anthropic, visit www.rubrik.com or join Rubrik’s sessions at the AI and Identity Resilience Summit.SAFE HARBOR STATEMENT: Any 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 visitwww.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

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

EDITORIAL DESK

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.

EDITORIAL DESK

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.

EDITORIAL DESK

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

EDITORIAL DESK

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.

EDITORIAL DESK

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.# # #

EDITORIAL DESK

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.

EDITORIAL DESK

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.