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Acumatica Opens Global Capability Center in Hyderabad, India

Bangalore, August 2026 : Cloud ERP leader expands its engineering footprint to accelerate innovation for growing businessesAcumatica, a global leader in cloud-based ERP solutions for small and mid-sized businesses, today announced the opening of its Global Capability Center (GCC) in Hyderabad, India. Located in Nanakramguda, the center opens with more than 30 employees, and more will be joining in the coming months. The GCC opening marks an important milestone in Acumatica’s international growth strategy, establishing a center of engineering excellence designed to accelerate product innovation and strengthen the company’s ability to serve customers worldwide.The Hyderabad GCC joins Acumatica's existing operations across the United States, Canada, Serbia, and Sri Lanka. Initially focused on engineering, the center also creates opportunities for Acumatica to expand into additional disciplines over time and support continued regional growth."We have created the core of our growth engine in India with an initial seed, and we look forward to it becoming a mature tree and a major contributor to the success of Acumatica customers and Acumatica itself,” said Miten Mehta, chief engineering officer of Acumatica. “India’s deep engineering talent pool, thriving technology ecosystem, and growing reputation as a destination for global innovation centers makes Hyderabad the ideal home for this next chapter of how we deliver value to small and mid-sized businesses.”The new office provides a collaborative environment where Acumatica’s India-based team can develop products and capabilities that benefit customers around the world. The new center reflects Acumatica's long-term commitment to building a diverse, globally distributed engineering organization capable of driving sustained growth and customer impact.Acumatica’s Hyderabad center is established in partnership with Summit Consulting Services, an ANSR company, recognized leaders in building and scaling GCCs. The collaboration brings structured capability design, talent strategy, and operational scaling expertise to Acumatica’s Hyderabad expansion.Acumatica is actively hiring engineering talent for the Hyderabad GCC. To explore career opportunities, visit www.acumatica.com/careers/.# # #About AcumaticaAcumatica Cloud ERP is a comprehensive business management solution that was born in the cloud and built for more connected, collaborative ways of working. Designed explicitly to enable small and mid-market companies to thrive in today’s digital economy, Acumatica’s flexible solution, customer-friendly business practices and industry-specific functionality help growing businesses adapt to fast-moving markets and take control of their future. For more information, visit acumatica.com or follow us on LinkedIn.

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Mphasis Achieves EcoVadis Silver Medal, Ranking in the Top 15% of Global Companies for Sustainability

Bangalore, August 2026,Mphasis, (BSE: 526299; NSE: MPHASIS), a global AI-led, platform-driven technology solutions provider, today announced that it has been awarded the EcoVadis Silver Medal for 2026, placing the company among the top 15% of more than 130,000 companies assessed globally across 200 industries and 175 countries. The company improved its overall EcoVadis sustainability score from 55 in 2025 to 75 in 2026, a 20-point increase in just over a year, reflecting the progress it has made in strengthening its environmental, social and governance (ESG) practices.The rating reflects Mphasis' continued focus on responsible governance, human rights, environmental stewardship and sustainable business practices. The company's improved performance across all four EcoVadis assessment pillars highlights the progress made in embedding sustainability across its operations and value chain.Environment: 82/100 (+34 points), revealing stronger environmental management, expanded Scope 1, 2 and 3 emissions reporting, measurable targets for energy, emissions and waste, and continued progress towards its commitment to achieve carbon neutrality by 2030.Labour & Human Rights: 76/100 (+21 points), indicating improvements in workplace health and safety, employee well-being, diversity and inclusion, supported by ISO 45001 certification and recognition as a Great Place to Work 2025-26.Ethics: 73/100 (+14 points), showcasing stronger anti-corruption practices, information security controls, whistleblower mechanisms and ethics awareness across the organisation.Sustainable Procurement: 67/100 (+11 points), reflecting improvements in responsible sourcing through supplier sustainability standards, ESG requirements in supplier contracts and supplier engagement programmes.“At Mphasis, sustainability is not a standalone initiative, it is embedded in how we run our business and create long-term value. This improvement in our score reflects the progress we've made integrating ESG into our strategy, operations, and culture. While we are encouraged by this achievement, we see it as one milestone in a much larger journey. We remain committed to reducing our environmental footprint, fostering an inclusive workplace, strengthening responsible governance, and working closely with our partners to build a more sustainable future," said Deepa Nagraj, Senior Vice President & Global Head - ESG, Sparkle Innovation Ecosystem, and Communications, Mphasis.The EcoVadis Silver Medal builds on Mphasis' broader sustainability agenda. The company is committed to achieving carbon neutrality by 2030 through the Science Based Targets initiative (SBTi), reports climate performance to the Carbon Disclosure Project (CDP), aligns its sustainability reporting with the GRI Universal Standards, and tracks its contribution to the United Nations Sustainable Development Goals (SDGs). Mphasis has also been recognised in the S&P Global Dow Jones Sustainability Indices (DJSI) and the S&P Global Sustainability Yearbook 2024, reinforcing its continued commitment to responsible and sustainable growth.Some of Mphasis' key ESG highlights for FY 2025 are:35.03% of Mphasis' workforce comprises women, with women representing 35.06% of STEM roles.Met 58% of its total energy requirements through renewable sources and achieved 100% wastewater recycling across its campuses.Invested INR 398.14 million in community development initiatives through its CSR programmes.Assessed 100% of new suppliers against environmental and social criteria while managing a network of more than 5,400 active vendors.Delivered an average of 31.8 hours of learning and development per employee during the year.We have large-scale ecosystem restoration projects, such as plantation of 1,00,000 trees at the Doddasagare Botanical Garden and restoration of 70 acres of mangroves.Our "One Billion Drops" initiative aims to conserve 153 million litres of rainwater by 2026 with 1,200 percolation wells.About EcoVadisEcoVadis is one of the world's most trusted providers of business sustainability ratings, with a network of over 130,000 rated companies across 200 industries and 175 countries. The Silver medal is awarded to companies scoring in the top 15% of all assessed organisations. Scorecards are valid for 12 months from the date of publication.Learn more at EcoVadis.com/suppliers About Mphasis At Mphasis, engineering has been in our DNA since inception.Mphasis is an AI-led, platform-driven company with human-in-the-loop intelligence, helping global enterprises modernize, infuse AI, and scale with agility. The Mphasis.ai unit and Mphasis AI-powered ‘Tribes’ are focused on client outcomes and embed artificial intelligence and autonomy into every layer of the enterprise technology and process stack. Mphasis built NeoIP™, a breakthrough AI platform that orchestrates a powerful pack of AI solutions and platforms to deliver impactful outcomes across the enterprise IT value chain, as we believe ‘AI Without Intelligence Is ArtificialTM’. Mphasis NeoIP™ is powered by the Ontosphere, a dynamic and ever-evolving knowledge base, delivering continuous and constant innovation through perpetual intelligent engineering—driving end-to-end enterprise transformation.At the heart of our approach is customer-centricity—reflected in our proprietary Front2Back™ transformation framework, which uses the exponential power of cloud and cognitive to deliver hyper-personalized digital experiences (C=X2C2TM=1) and build strong relationships with marquee clients. Our Service Transformation solutions enable enterprises to pivot from legacy systems and operations to secure, adaptive, cloud-first operating models with minimal disruption. Continuous investments in platforms, such as the Neo series, enable enterprises to stay efficient, relevant, and ahead in a dynamic AI-first world. Mphasis is a Hi-Tech, Hi-Touch, Hi-Trust company, rooted in a learning and growth culture. Click here to know more. (BSE: 526299; NSE: MPHASIS)

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Sophos Announces Partnership with OpenAI to Bring Frontier AI to the Channel

Bangalore, August 2026 : A dedicated channel partnership brings frontier AI to the channel and service providers through Sophos Fusion, powering new security services partners can build onSophos, a global cybersecurity leader, today announced a partnership with OpenAI to bring OpenAI frontier models to managed service providers (MSPs) through Sophos Fusion, the industry's most complete AI-native Cybersecurity Defense System. Through this partnership, Sophos intends to give partners a new way to deliver frontier AI security as one connected defense system, and to build recurring services on top of it.Sophos Fusion is built on a single, open architecture where every control point operates as one, whether native to Sophos or a third-party integration. The partnership will extend that open model, with a focus on bringing OpenAI frontier models into a cyber defense system that already connects endpoint, network, email, cloud, identity, and security operations, and compounds intelligence from every threat it encounters. For MSPs, that means frontier AI arrives inside the defense system they already run, not as another tool to wire in themselves.In addition to applying frontier AI to strengthen defense, Sophos is also defending the AI that organizations increasingly adopt. Through Sophos AI Defense, available for early access in August 2026, Sophos gives organizations visibility into how AI and shadow AI is used across their environment, enforces policy on that usage, and helps govern how sensitive data is used across AI models and tools. Sophos intends to expand this protection with OpenAI, securing the AI workloads, data, and usage that organizations increasingly depend on as part of one connected defense system.The partnership builds on an established relationship between Sophos and OpenAI through the OpenAI Daybreak Cyber Partner Program. Through Daybreak, OpenAI works with leading cybersecurity companies to develop practical, governed solutions for defenders, building new workflows, integrating frontier capabilities, and helping security teams identify, validate and remediate threats faster. This partnership deepens that work with a dedicated focus on the MSPs that deliver security to organizations worldwide, and reflects Sophos’ commitment to an open architecture that brings best-of-breed technologies into one defense system.“Frontier AI only protects organizations at scale when you have the architecture to operationalize it and the reach to deliver it,” said John Peterson, chief technology officer, Sophos. "Sophos Fusion will give OpenAI models a defense system to work inside: connected control points, shared context, and human accountability. Our channel gives them reach through a global network of more than 25,000 partners, including over 7,000 MSPs. For those partners, it opens a new class of AI security services to build a business on. That is how frontier AI reaches the organizations that need it most.”MSPs are uniquely positioned to turn frontier cyber capabilities into practical security outcomes because they understand their customers’ environments and already operate the workflows organizations rely on. Sophos Fusion supports that work by connecting endpoint, network, email, cloud, identity and security operations in one coordinated defense system. By pairing that foundation with OpenAI’s frontier capabilities, Sophos plans to help approved partners enhance detection, investigation, and response and develop new services tailored to their customers’ needs."Many of our clients are adopting AI at rapid speed, and they're asking us how to stay secure while they do it," said Alex Ryals, CISO & SVP at MicroAge, a Sophos partner based in Phoenix, AZ, USA. "Seeing a leader in security and a leader in AI commit to working together on exactly that challenge means we can offer a strong answer for our clients, and new services to grow on."Sophos will share more information about their partnership with OpenAI and potential offerings in the coming months. To learn more about the partnership, visit Sophos.comIf attending Black Hat USA, visit Sophos at booth #3239.Forward-Looking StatementsThis announcement contains forward-looking statements regarding anticipated products, services, collaborations, and future capabilities. Any unreleased services or features referenced are subject to change and may not become generally available. Customers should make purchasing decisions based solely on currently available products and services.About SophosSophos, a global cybersecurity leader, defends more than 625,000 organizations worldwide with Sophos Fusion, the industry’s first and most complete AI-native cybersecurity defense system: a single, connected architecture where every control point operates as one. Powered by agentic AI and elite human expertise, Sophos detects, investigates, and neutralizes threats before they become business-disrupting events. Working alongside a global ecosystem of managed service providers, resellers, and technology partners, Sophos compounds intelligence from every threat encountered and every environment defended to make every customer’s defense stronger than the last. Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com.

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VTDS Signs Strategic Technology Partnership with DEUS Automation

Bangalore, August 2026 :The agreement will enable the company to acquire manufacturing technology for small-calibre ammunition as part of efforts to strengthen indigenous defence production.The collaboration is aimed at strengthening long-term defence manufacturing cooperation between the 2 countries, aligning with the centres Atmanirbhar Bharat & Make in India initiatives. Vijayan Trishul Defence Solutions (VTDS) has signed a strategic technology partnership with Czech Republic-based DEUS Automation, a sister company of the STV Group, to acquire manufacturing technology for small-calibre ammunition in India.Under the agreement, DEUS Automation will provideadvanced manufacturing technology for the production of small-calibre ammunition in India, enabling VTDS to establish manufacturing capabilities based on international quality benchmarks, precision engineering standards, and modern production systems.The collaboration is among the first major technology-transfer partnerships between India and the Czech Republic in the small-calibre ammunition segment. It is aimed at strengthening long-term defence manufacturing cooperation between the two countries, aligning with the centre’s Atmanirbhar Bharat and Make in India initiatives."This partnership reflects our commitment to bringing cutting-edge global defence technologies to India through trusted international collaborations." said Mr. Sahil Luthra, Founder & Managing Director, VTDS.Ms. Prikansha Luthra, Co-Founder & Director, VTDS, said "The collaboration would support the development of a sustainable manufacturing ecosystem focused on technology transfer and industrial capability."Representing DEUS Automation, Mr. Alex ?erný, Chief Executive Officer & Member & the Board Member & Manager of Sales, Projects & Purchase Mr. Ond?ej ?erný “The partnership as a long-term industrial collaboration focused on technology exchange, advanced manufacturing, and innovation.”

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Palo Alto Networks Autonomous AI System Identified More Than 14,000 Previously Unknown Software Vulnerabilities

Bangalore, August 2026 : Research explores how frontier AI is accelerating vulnerability discovery, validation and software security at unprecedented scalePalo Alto Networks has published new research introducing the Network and Open-Source Vulnerability Analyzer (NOVA), a fully autonomous AI-powered vulnerability research system designed to discover, validate and document previously unknown software vulnerabilities. In a two-month evaluation, NOVA analyzed 3,915 open-source software projects and identified 14,090 previously unknown vulnerabilities, 99.4% of which had not been publicly reported. Nearly 40% of the findings were classified as High or Critical severity under CVSS 4.0.The research argues that frontier AI is fundamentally changing vulnerability research by dramatically reducing the time required to identify software flaws. Rather than supporting individual tasks, autonomous AI systems are increasingly capable of carrying out much of the vulnerability research workflow independently—from analyzing source code and identifying candidate vulnerabilities to generating proof-of-concept (PoC) exploits, validating findings and preparing disclosure material.Key FindingsNOVA performs much of the vulnerability research lifecycle through a multi-agent architecture that can:Review software repositories and analyze source codeIdentify and prioritize potential vulnerabilitiesGenerate and validate proof-of-concept exploitsProduce disclosure reports for software maintainersGenerate patch candidates and defensive recommendationsThe report also highlights the benefits of using multiple AI models together. During testing, every model identified vulnerabilities that other models did not, suggesting that different models specialize in different aspects of code analysis. The research concludes that combining multiple frontier models improves overall vulnerability coverage, particularly for larger and more complex software projects.Another key finding relates to the types of vulnerabilities AI was able to identify. While previous automated techniques have largely focused on memory corruption and other fuzzing-friendly bugs, 92% of NOVA's findings fell into broader logic and semantic vulnerability categories, including access control and authorization flaws, path traversal, code injection, prototype pollution and server-side request forgery (SSRF). This suggests that frontier AI is becoming increasingly capable of identifying vulnerability classes that have traditionally relied more heavily on manual analysis.The research also examined software supply-chain exposure. NOVA identified 5,421 supply-chain findings, including 1,280 vulnerabilities in dependency packages that resulted in 4,141 downstream software exposures. Of these, 2,776 downstream exposure paths were validated through working proof-of-concept exploits, illustrating how vulnerabilities in widely used open-source components can affect large numbers of dependent applications.The Bigger PictureThe research points to a broader shift in cybersecurity as AI accelerates the pace of vulnerability discovery. As software flaws can increasingly be identified and validated in days rather than months, the time available for organizations to assess risk and deploy mitigations may continue to shrink.The findings also suggest that vulnerability discovery is becoming only one part of the broader security challenge. As the volume and speed of discoveries increase, organizations may need faster validation, coordinated disclosure and mitigation processes to reduce exposure before official software updates become available.At the same time, the report emphasizes that human expertise remains an essential part of the process. While AI can significantly accelerate code analysis and vulnerability research, experienced security researchers continue to play an important role in validating findings, prioritizing risk, handling responsible disclosure and developing mitigation strategies.Overall, the research presents autonomous vulnerability discovery as an emerging capability that could reshape both software security research and defensive cybersecurity, while highlighting the need for organizations to adapt to increasingly compressed timelines between vulnerability discovery, disclosure and potential exploitation.Read the full blog here: https://unit42.paloaltonetworks.com/frontier-ai-vulnerability-burst/

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Trust Has Become Cyber Security’s Most Important Battleground

Bangalore, August 2026 : The business world sees AI as a harbinger of positive developments — a force multiplier that will help organizations automate tasks, accelerate innovation, and improve productivity. But the cyber security community is acutely aware of AI’s double-edged nature. Just as AI helps identify and fix vulnerabilities and strengthen defenses against intrusion, it is also now being used by attackers to plan, execute, and scale attacks with increasing speed and efficiency.Check Point Research’s second annual AI Security Report illustrates the offensive AI campaigns that AI security leaders are preparing for. Check Point documented a range of incidents where AI autonomously executed vulnerability exploitation workflows, generated thousands of commands during active intrusions, and dramatically reduced the level of expertise required to carry out sophisticated attacks. In one case, researchers analyzed a command-and-control framework that initially looked as though it had been developed by an experienced team over several months. In reality, it was created by a single individual using AI-assisted coding tools, which generated approximately 88,000 lines of working code in under a week.This new research provides a snapshot of AI threats around the world. But it also serves as a reminder that traditional defense solutions and strategies are no longer sufficient to address today’s increasingly autonomous AI-driven threats.AI Is Entering the Attack ChainThe traditional cyberattack chain required specialized skills, significant resources, and time. AI is now rapidly compressing all three.Check Point Research observed AI being used across nearly every stage of modern cyber operations, from reconnaissance, malware development and vulnerability research to credential theft, phishing, and post-compromise activities. While the techniques themselves are often familiar, what has changed is the speed and scale at which they can now be executed. Tasks that once required hours or days of expert work can now be completed in minutes.Researchers documented intrusions where AI systems executed thousands of actions across dozens of sessions with minimal human direction. In one widely reported breach involving nine Mexican government agencies, a single operator used AI tools that generated more than 5,300 AI-executed commands across 34 separate sessions while exposing approximately 400 million records.In the nascent AI era, the most dangerous adversaries are no longer necessarily those with the most sophisticated tools, but rather those that are learning to best orchestrate AI systems.Platforms such as EvilTokens now integrate AI directly into phishing campaigns. Stolen inboxes are automatically analyzed by large language models, personalized fraud messages are generated in the victim's writing style, and fake calendar invitations are created to improve credibility. Voice fraud platforms such as ATHR automate credential-theft calls without requiring a human operator. What was once a high-level cyber operation can increasingly be purchased as a service.AI Has Become a New Attack SurfaceAI is also now increasingly becoming the target of criminals. As organizations work to embed Ai into email systems, browsers, collaboration platforms, software development environments, customer service applications, and enterprise workflows, there must be checks on the AI used within these systems to ensure they’re not becoming part of the problem rather than a solution.The report identifies two primary categories of risk. The first is unique to AI itself, including prompt injection, memory poisoning, and configuration abuse. The second consists of traditional software vulnerabilities that now affect AI systems and agents operating with expanded permissions and autonomy.Prompt injection, in particular, has evolved from theory to operational reality. Researchers identified approximately 15,300 indirect prompt-injection payloads hidden across public websites, with roughly 70 percent embedded in non-rendered HTML invisible to human users. Check Point telemetry also showed detections of long malicious prompt payloads increasing roughly fivefold between March and May 2026.This trend becomes particularly dangerous as organizations deploy AI agents capable of taking actions on behalf of users.The Rise of the Agentic Supply ChainAI agents increasingly rely on trusted configuration files, Model Context Protocol (MCP) servers, plugins, skill stores, and external services. These components form the "agentic supply chain,” a new ecosystem of dependencies that expands the enterprise attack surface. Check Point Research found vulnerabilities that allowed attackers to compromise AI coding agents through seemingly trusted project files. Researchers also discovered security weaknesses in 40 percent of the 10,000 MCP servers they reviewed.Separately, analysis of approximately 46,500 published software packages revealed 428 instances where developers unintentionally exposed sensitive AI configuration files, including live credentials.AI security is not just about protecting models. It is about securing the broader ecosystem powering autonomous decision-making.Securing Trust to Better Secure AIDigital trust is one of the other major takeaways from the Check Point Research report. Human trust has been the focal point of digital trust for decades, with organizations relying on identity signals (voices, faces, documents, and live conversations) to establish trust. But with AI use rapidly expanding across every area of business, confidence in these indicators is waning.Voice cloning, deepfake video, fabricated documents, and synthetic personas are now routinely used in criminal operations. Researchers documented platforms that automate voice-enabled credential theft, large-scale investment fraud operations driven by AI-generated personas, and sophisticated deepfake campaigns targeting businesses and individuals alike.One particularly concerning trend involves synthetic workers. Check Point Research highlighted North Korean operations that use AI-generated identities, resumes, facial imagery, and interview personas to secure legitimate employment inside Western organizations. Once hired, these individuals gain authentic access to enterprise systems and cloud environments, turning synthetic identity into operational footholds.The conclusion is difficult to ignore: a voice, face, document, or video call can no longer serve as definitive proof of identity. AI is accelerating attack development, compressing vulnerability lifecycles, expanding the enterprise attack surface, and fundamentally changing how digital identities are created and verified. At the same time, organizations are deploying AI faster than governance, visibility, and security controls have been adopted. High-risk AI interactions have doubled over the past year, while the average organization now runs roughly ten AI applications every month.Quickly adopting and deploying AI is not the answer to safe innovation – it must be built with trust as the keystone of these efforts to mitigate risk and maximize upside.This can be accomplished by implementing AI-native security controls, verifying identities through multiple trusted signals rather than relying on a single indicator, and, perhaps most important, continuously monitoring how AI is being used (not just how it is supposed to be used).The future runs on intelligence. Preserving and monitoring trust in this future may become the top cyber security mandate of the next five years and beyond.

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Vertiv Infrastructure Helps Bring NVIDIA AI Computing Capability to the Naval Postgraduate School

Bangalore, August 2026 : Integrated power, liquid cooling, racks and deployment services provide a repeatable physical infrastructure configuration for high-density AI systemsVertiv (NYSE: VRT), a global leader in critical digital infrastructure, announced the deployment of integrated power, liquid cooling, rack infrastructure and installation services supporting the Naval Postgraduate School’s (NPS) new NVIDIA DGX™ GB300 system. The project establishes an advanced, locally operated AI environment for education, research, digital engineering, modeling and simulation. It also demonstrates how an existing facility can be transformed to support the electrical, thermal and operational requirements of next-generation accelerated computing.NVIDIA provided the DGX GB300 system to NPS, while Vertiv provided and deployed the supporting physical infrastructure, engineering expertise and installation services required to bring the high-density, liquid-cooled environment online.“Advanced AI systems are redefining the physical requirements of the data center,” said Gio Albertazzi, CEO of Vertiv. “The NPS deployment demonstrates what is required to turn rack-scale accelerated computing into operational AI capability. By coordinating compute requirements with power, liquid cooling, installation and lifecycle readiness, organizations can deploy AI faster, reduce integration risk and create a repeatable foundation for future growth.”Turning AI compute into operational capabilityRack-scale AI systems are changing how organizations plan and deploy digital infrastructure. Enterprise AI requires a complete physical configuration that coordinates compute, power, liquid cooling, racks, controls, installation, commissioning and lifecycle support.The NPS project provides a practical example of how an existing facility can be modernized to support advanced AI capability without waiting for an entirely new purpose-built environment. For enterprise, government, research and institutional customers, this approach can reduce deployment complexity, accelerate time to productive AI capacity and establish a scalable foundation for future expansion.High-density AI systems require substantially more power and cooling capacity than traditional IT environments. Deployments can involve power distribution upgrades, liquid-cooling integration, facility modifications, fluid management and specialized commissioning. Designing these elements as a coordinated system can reduce integration risk and improve operational readiness.A repeatable physical configuration for Enterprise AIThe Vertiv™ SmartIT pre-integrated rack-level AI infrastructure portfolio is designed to accelerate AI deployment across a range of physical infrastructure configurations, from standalone enterprise systems to fully integrated whitespace solutions. For larger-scale environments, Vertiv SmartIT can be integrated with Vertiv™ SmartRun to extend the same pre-engineered architecture converging the whitespace, coordinating rack infrastructure, power, cooling, controls and services as one deployable system. This modular approach provides customers with a repeatable path from an initial AI deployment to broader capacity expansion in both existing facilities and new builds.Working with NVIDIA, NPS, the NPS Foundation and a broad ecosystem of partners, Vertiv designed and delivered a three-rack Vertiv SmartIT integrated AI infrastructure configuration to support the NVIDIA system. The Vertiv SmartIT configuration integrates:Power protection and distributionAI infrastructure racksLiquid-cooling technologiesFluid management and monitoringFacility and system interfacesInstallation sequencingTesting and commissioning support“Deploying an AI factory requires more than accelerated computing — it requires power, cooling and physical infrastructure engineered to work together,” said Charlie Boyle, vice president of DGX systems at NVIDIA. “Together with Vertiv, we’re bringing the NVIDIA DGX GB300 system online at the Naval Postgraduate School, giving researchers and faculty the infrastructure to advance AI research, digital engineering and education.”To learn more about how Vertiv helps organizations deploy high-density Enterprise AI infrastructure, visit www.vertiv.com.# # #About VertivVertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.Forward-looking statementsThis release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, Section 27 of the Securities Act, and Section 21E of the Securities Exchange Act. These statements are only a prediction. Actual events or results may differ materially from those in the forward-looking statements set forth herein. Readers are referred to Vertiv’s filings with the Securities and Exchange Commission, including its most recent Annual Report on Form 10-K and any subsequent Quarterly Reports on Form 10-Q for a discussion of these and other important risk factors concerning Vertiv and its operations. Vertiv is under no obligation to, and expressly disclaims any obligation to, update or alter its forward-looking statements, whether as a result of new information, future events or otherwise.

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Hostin Services Launches QPulse™ — Enterprise Quantum Visibility, Consumption Tracking and Governance

Bangalore, August 2026 : Enterprise platform delivering visibility, governance, and consumption insights for quantum computing environments, with initial support for Amazon Braket.Hostin Services Private Limited (Cloud.in), an AWS Premier Tier Services Partner, today announced the launch of QPulse™, an enterprise platform that delivers visibility, governance, and consumption insights for quantum computing environments.Initially designed to provide enterprise consumption tracking and governance for Amazon Braket workloads, QPulse has been architected as a scalable, technology-agnostic platform capable of supporting the evolving quantum computing ecosystem.As quantum computing evolves from research to enterprise adoption, organizations require greater transparency into resource utilization, consumption, and costs across teams, departments, and institutions. QPulse enables organizations to understand who is using quantum resources, how they are being used, and what they cost through a secure, scalable, multi-tenant platform designed for enterprise governance."Quantum computing is rapidly becoming a strategic capability for enterprises, governments, research institutions, and academia. As adoption grows, organizations will need the same level of visibility, governance, and financial accountability they expect from cloud infrastructure. QPulse provides that foundation—enabling organizations to confidently scale their quantum initiatives while staying focused on innovation."— Rahul S. Kurkure, Founder & CEOEnterprise Visibility and Consumption Intelligence• Enterprise-wide visibility into quantum consumption.• Consumption monitoring and reporting across organizations, institutes, departments, and individual users.• Analysis of workloads, execution activity, utilization trends, and associated costs.• Hierarchical dashboards with secure, policy-based access controls.• Historical reporting and actionable insights for planning, governance, and optimization.Governance and Budget ControlQPulse enables organizations to govern quantum consumption through hierarchical budgets, policy-based administration, delegated access, and automated alerts.Built for Enterprise ScaleDesigned with a secure multi-tenant architecture, QPulse includes enterprise-grade authentication, encrypted credential storage, configurable notifications, certificate management, and flexible policy-based access control. Its technology-agnostic architecture enables organizations to establish consistent governance as quantum technologies continue to mature.AvailabilityQPulse is available immediately from Hostin Services Private Limited.To schedule a demonstration or learn more, visit www.cloud.in.About Hostin Services Private Limited (Cloud.in)Hostin Services Private Limited, operating under the Cloud.in brand, is an AWS Premier Tier Services Partner specializing in cloud infrastructure, managed services, cybersecurity, artificial intelligence, and emerging technologies. The company delivers innovative services, solutions, and software platforms that help organizations simplify governance, enhance visibility, optimize costs and operations, accelerate innovation, and drive the adoption of next-generation technologies.________________________________

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Securonix Takes On Data Costs, Detection Gaps, and AI Agent Risk at Black Hat USA 2026

Bangalore, August 2026 : New capabilities help organizations control security data costs, improve Microsoft Sentinel detection coverage and response, and govern enterprise AI agent activitySecuronix, Inc., a six-time Leader in the Gartner® Magic Quadrant™ for SIEM, today announced expanded Data Pipeline Manager (DPM) licensing, the now-shipping Securonix DPM agent, expanded Threat Analytics for Microsoft Sentinel, and new Governed AI Agent Detection and Response capabilities at Black Hat USA 2026. These additions extend the Securonix Unified Defense SIEM platform to help enterprises and managed security providers control data costs, improve detection coverage and response, and govern risks introduced through enterprise AI adoption.Security teams face three pressures at once. Telemetry volumes and SIEM costs continue to rise. Threats increasingly span identity, cloud, endpoint, application, and third-party environments. Enterprises are also deploying AI assistants, autonomous workflows, and digital workers that can access sensitive systems and act on behalf of users. Security leaders must address these pressures while preserving visibility, protecting existing technology investments, and improving outcomes without proportionally increasing staff or operational complexity.Securonix is addressing those priorities through three areas of expansion: Governed AI Agent Detection and Response for identifying risky activity across human and non-human identities , expanded DPM licensing and the now-shipping Securonix DPM agent for greater control over security data economics, and deeper Threat Analytics for Microsoft Sentinel for enterprises, MSSPs, and MDR providers.“Security operations cannot scale by continually adding more data, more tools, and more analyst effort,” said Toby Weiss, Chief Executive Officer of Securonix. “We are giving customers better control over the data they retain, stronger detection across the platforms they already use, and clear oversight of automated activity. That gives the SOC room to grow without losing control of cost, context, or risk.”Strengthen Microsoft Sentinel Without Replacing ItSecuronix has expanded Threat Analytics for Microsoft Sentinel, a lightweight, cloud-nativen analytics and enrichment layer designed to improve detection fidelity while keeping Microsoft Sentinel at the center of the SOC.Threat Analytics applies behavior-driven analytics, industry-leading UEBA, advanced correlation, entity context, dynamic risk scoring, and continuously maintained Threat Labs content to telemetry already available in Sentinel. It returns enriched, higher-confidence detections directly to Sentinel for triage, investigation, and response. Analysts continue working in their existing Sentinel workflows. Customers gain broader coverage and richer behavioral context without deploying additional endpoint agents, duplicating customer data, building new customer-side pipelines, replatforming the SOC, or operating a second SIEM.“Sentinel customers have already made their platform choice,” said Hunt. “We are adding depth where it counts: behavioral context, cross-source correlation, and risk-based prioritization. Analysts stay in Sentinel, while the detections reaching them carry more evidence and a clearer reason to act.”With more than 2,400 continuously maintained, Threat Labs-backed detections, Threat Analytics helps teams identify identity attacks, insider threats, ransomware, cloud compromise, and advanced persistent threats with greater context and confidence.For MSSPs and MDR providers, the offering creates a path to differentiated managed detection services across multi-tenant environments. Behavioral analytics, cross-source correlation, and risk-based prioritization help providers reduce noise, standardize investigations, and focus analyst attention on the threats carrying the greatest risk. The offering helps service providers strengthen managed detection without disrupting customer environments, replacing Microsoft Sentinel, or introducing a disconnected analyst workflow.Detect and Govern Risk Across Enterprise AI AgentsSecuronix is introducing new Governed AI Agent Detection and Response capabilities designed to help organizations identify and respond to abnormal or risky activity involving enterprise AI assistants, autonomous workflows, and digital workers. AI agents increasingly interact with users, identities, applications, sensitive data, tools, and business processes. Security teams need visibility into what those agents are doing, which resources they are accessing, and whether their behavior changes in ways that indicate misuse, compromise, or policy violations. Securonix applies behavioral analytics across human and non-human identities to detect abnormal agent activity, suspicious human-to-agent interactions, risky tool invocation, unusual prompt behavior, unauthorized AI adoption, and potential misuse or compromise, or policy violations.The capabilities are designed to monitor activity from supported enterprise AI environments, including Anthropic Claude, Google Gemini, Microsoft Copilot, and GitHub Copilot. Detection findings retain behavioral context, investigations remain explainable, response actions can be reviewed and audited, and human analysts maintain oversight of consequential decisions.“The moment an AI agent can access a mailbox, call an API, or change a business process, its behavior belongs in the security picture,” said Simon Hunt, Chief Product Officer of Securonix. “Analysts need to know what it touched, why it acted, and whether that activity fits policy. We are bringing that context into the same investigation and response process teams use every day.”Control Security Data Costs Without Sacrificing VisibilitySecuronix has expanded DPM licensing across eligible SIEM environments and is now shipping the Securonix DPM agent. Together, these capabilities give enterprises and service providers greater control over how telemetry is collected, routed, retained, and analyzed.Many security data strategies force teams to choose between managing costs and preserving visibility. Securonix helps organizations align telemetry with its operational and security value. High-priority data can support real-time analytics and detection, while other telemetry remains available for investigation, threat hunting, compliance, and long-term retrieval. Analysts retain access to the data required for investigations. Security leaders gain more predictable economics. Enterprises and MSSPs can expand coverage without discarding telemetry that may later prove critical.Securonix Data Pipeline Manager can help organizations reduce SIEM data costs by 30–50% by ensuring that only security-relevant data is processed through the Analytics Pipeline, while investigation and compliance data are routed through cost-efficient pipelines.Behavioral Analytics Recognized by QKS GroupSecuronix was named a Leader in the 2026 QKS SPARK Matrix™ for Insider Risk Management. The recognition reinforces Securonix's behavioral analytics foundation for insider risk management. That same behavioral analytics foundation powers a broader portfolio of innovations, including Threat Analytics for Microsoft Sentinel, identity and entity analytics, and Governed AI Agent Detection and Response. With these new capabilities, Securonix is helping organizations govern emerging AI agent activity, preserve access to valuable telemetry, and improve detection across existing environments without abandoning trusted platforms or adding unnecessary operational complexity.AvailabilityExpanded DPM licensing is available for eligible SIEM environments, and the Securonix DPM agent is now shipping.Securonix Threat Analytics for Microsoft Sentinel is available for enterprise SOCs, MSSPs, and MDR providers using Microsoft Sentinel.Governed AI Agent Detection and Response capabilities are available as part of the Securonix Unified Defense SIEM platform.About SecuronixSecuronix is transforming security operations with the industry’s first Unified Defense SIEM with Agentic AI, built to decide and act across the threat lifecycle with a human-in-the-loop philosophy. Its cloud-native platform unifies detection, investigation, and response, while enabling Sam, the AI SOC Analyst, and a productivity-based AI operating model for the SOC, so organizations can measure and govern AI by the analyst work it delivers. Helping enterprises become Breach Ready and Board Ready, Securonix delivers accountable, outcome-driven security operations at scale. Recognized as a Leader in the Gartner® Magic Quadrant™ for SIEM and a Customers’ Choice by Gartner Peer Insights™, Securonix delivers trusted security operations for global enterprises. Learn more at www.securonix.com.

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Delinea Delivers Runtime Authorization for AI Agents, the Only Platform to Enforce Policy on Actions Before They Execute

Bangalore, August 2026 : Closing the gap between secrets management and access control, across protocols agents useDelinea, the identity security platform that governs what humans, machines, and AI agents do once they have access, is releasing new runtime authorization capabilities for AI agents, making it the only platform to enforce policy on what agents do inside a session before they act, not just how they connect.AI agents now operate autonomously across production databases, SSH hosts, Kubernetes clusters, cloud consoles, and MCP servers. Most identity security approaches fall into two categories: those that verify a connection when a session opens and audit or revoke access after the fact, and those that can only see traffic routed through their own server, leaving direct connections outside their view. Neither goes beyond credential hiding to enforce policy on what happens inside the session, action by action, before it executes. Delinea does.“The security industry spent years solving credential theft, but AI agents have introduced a new problem: authorized access doing unauthorized things,” said Art Gilliland, CEO at Delinea. “You can have perfect credential hygiene and still have an agent tear through your production environment in milliseconds. Recording what happened or revoking access after the fact doesn't stop that – enforcing policy on the action as it runs does. The perimeter has moved to inside the session, and no one has figured out how to address that until now.”Runtime authorization for AI agents delivers:Consistent policy and a complete audit record, regardless of how agents connect. Agents reach databases, SSH hosts, Kubernetes clusters, and cloud consoles directly, not only through an MCP server. The Delinea Platform authorizes and records each of those connections through a single control point, across every protocol agents use. Security teams get the same visibility and enforcement regardless of how the agent was deployed or which systems it reached.No standing credential for an attacker to exploit. The agent never holds a credential. The Delinea Platform injects it just-in-time at the moment of access, scoped to the task rather than inherited from the person who deployed it, and revokes it automatically when the task completes. Because the credential is never exposed to the agent, there’s no lingering exposure between sessions.Policy enforced on every action, not just when the session opens. A single AI session can carry dozens of tool calls, each with a different risk profile. The Delinea Platform evaluates and enforces policy on each tool call individually – allowing it, blocking it, or pulling in a human before it executes. When an agent misbehaves, the blast radius stays contained.Policy built specifically for agents, not retrofitted from humans. The Delinea Platform identifies whether a connection is agent-driven or human-driven before granting access, applying agent-specific policy at the moment of connection so the right controls are in place before the first action runs.A complete, defensible record of every action, tied to a named identity. Every tool call, database query, and SSH command is recorded and accountable to a specific identity. When something goes wrong, teams have the control to investigate, respond, and stand behind every access decision that was made.“AI agents were accessing our production systems and we had no way to know what they were actually doing once they were in,” said Dhruv Kumar, Infrastructure Product Manager at Telnyx. “With Delinea, every action is now tied to a named identity and recorded at the action level. That’s what gave us the confidence to keep moving forward with AI without taking on risk we couldn’t see.”The same enterprise-grade platform governing privileged access across thousands of enterprise environments now governs AI agents connecting to those same systems. No new infrastructure is required, and organizations can now apply Zero Standing Privilege to AI agents where risk demands it.Runtime authorization for AI agents is available now as part of the Delinea Platform. To learn more, visit: https://delinea.com/resources/runtime-authorization-ai-agentsDelinea will be demonstrating these capabilities at Black Hat (booth #2367) and Ai4 (booth #946), both taking place August 4-6 in Las Vegas.About DelineaDelinea is the identity security platform that governs what humans, machines, and AI agents do once they have access. It enforces just-in-time authorization at the moment of action, not just when access is first granted, reducing reliance on standing privilege across on-premises, multi-cloud, and ephemeral infrastructure. Built on deep privileged access management expertise, the Delinea Platform continuously discovers identities, analyzes risk, and enforces least privilege, so every access decision is defensible. This gives organizations the visibility and control to adopt AI with confidence. Learn more at delinea.com.

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Dynatrace Brings Autonomous Operations to Enterprise AI, Moving from Insight to Action

Bangalore, July 2026 : New innovations extend Dynatrace Intelligence beyond analysis and recommendations into trusted, autonomous executionDynatrace (NYSE: DT), the leading AI-powered observability platform, announced major advancements to Dynatrace Intelligence that help automatically resolve incidents, prevent disruptions, and accelerate operations while maintaining the human oversight and governance enterprises require.Building on the introduction of Dynatrace Intelligence earlier this year, Dynatrace is adding new autonomous agents for incident triage and remediation, and no-code custom agent creation capabilities. The platform is also expanding its ecosystem of integrations, bringing insights directly into the tools and workflows teams already use.AI systems typically lack the real-time context and controls to make reliable decisions, with most AI initiatives promising automation but often unable to deliver on production goals. Dynatrace addresses this by combining agentic AI with deterministic, real-time understanding of complex environments, creating AI that acts on facts, not guesses."Our operations teams are under constant pressure to manage increasingly complex environments while maintaining reliability and speed,” said Angel Marchena, Director of Technical Operations at Western Governors University. “Dynatrace helps us reduce manual effort by providing automation that is grounded in real-time context, which allows our teams to focus on higher-value work while improving operational outcomes."How Dynatrace Intelligence WorksDynatrace Intelligence goes beyond providing answers to acting on them automatically. The release introduces:Autonomous SRE Agent: Triggers autonomously on newly detected problems to determine whether they are part of an existing investigation. If confirmed, the agent enriches the investigation with additional insights and updates the detected problem with a reference to the ongoing investigation.Cloud SRE Agent: Coordinates remediation activities and integrates with agents across AWS, Microsoft Azure, and Google Cloud environments, centralizing findings to provide a single auditable record for autonomous operations.Agent Builder: Enables customers to create and deploy custom AI agents without code, extending autonomous operations to workflows unique to their environments.Enhanced Dynatrace Assist: New capabilities bring natural-language investigation and agent-ready workflows to even more users.Expanded Integration Ecosystem: New integrations with hyperscalers like AWS, Azure and Google; enterprise platforms like ServiceNow, Atlassian, and PagerDuty; developer tools and leading AI technologies enable teams to resolve and remediate across the systems they already use.AI That Acts on Answers, Not GuessesUnlike approaches that rely primarily on probabilistic outputs, Dynatrace Intelligence grounds every action in deterministic, real-time system understanding. Every action is rooted in environment-specific context and designed to be transparent, auditable, and governed - giving enterprises the confidence to automate increasingly complex operational workflows."Most observability platforms stop at data – leaving humans to find answers, determine what to do, and execute," said Steve Tack, Chief Product Officer at Dynatrace. "With these advancements to Dynatrace Intelligence, we're helping organizations move from understanding problems to resolving them automatically. By grounding agentic AI in deterministic context, Dynatrace enables enterprises to automate operations with confidence while maintaining governance and control.”"Enterprises investing in AI-driven observability have an opportunity to turn data into intelligence that translates into trusted, autonomous action," said Stephen Elliot, Group VP, IDC. "The gap between AI-generated insight and safe, governed execution is one of the biggest concerns; customers need a deterministic, real-time context with automation and auditability to drive trusted and reliable outcomes.”Cloud SRE Agent, Enhanced Dynatrace Assist, and the expanded integration ecosystem are available to SaaS customers on DPS today. Autonomous SRE Agent and Agent Builder are expected to be available in August.FAQWhat is Dynatrace Intelligence?Dynatrace Intelligence is an advanced AI-powered capability embedded within the Dynatrace platform that enables organizations to move beyond insights to autonomous operations by automatically identifying, triaging, and remediating issues across complex digital environments.How does Dynatrace achieve autonomous operations?Dynatrace achieves autonomous operations by combining agentic AI with its patented causal AI engine for deterministic, real-time understanding of IT environments. This allows for reliable decision-making and automated execution of tasks, rooted in factual data rather than probabilistic guesses.What types of agents are available in Dynatrace Intelligence?Dynatrace Intelligence introduces an Autonomous SRE Agent for incident resolution and a Cloud SRE Agent for multi-cloud remediation. Additionally, an Agent Builder allows customers to create custom, no-code AI agents tailored to their unique workflows.How does Dynatrace help ensure trust and governance in AI automation?Dynatrace helps ensure trust and governance through its deterministic AI approach, transparent action logging, auditable records, and built-in human oversight capabilities that allow for human approval and intervention where required, maintaining control over automated processes.What integrations are available for Dynatrace Intelligence?Dynatrace Intelligence integrates with leading hyperscalers (AWS, Azure, Google Cloud), enterprise platforms (ServiceNow, Atlassian, PagerDuty), developer tools, and other key AI technologies, enabling seamless operation within existing IT ecosystems.What specific problem does Dynatrace Intelligence solve for enterprises?Dynatrace Intelligence helps to solve problems related to unreliable AI automation by providing a platform where AI acts on facts, not guesses. This enables enterprises to confidently automate complex operational workflows, reduce manual effort, and improve system reliability in increasingly complex, distributed environments.Additional Resourcesdtctl: The Dynatrace observability CLI that’s built for AI agents and humansDynatrace AI agents begin working for you on day one, and are built to grow with youOrchestrate multicloud AI agents for autonomous incident resolutionAbout DynatraceDynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.Dynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. © 2026 Dynatrace LLC.

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Matrix and Yotta Partner to Deliver AI-Powered Cloud Video Surveillance for Modern Enterprises

Bangalore, July 2026 : Matrix Comsec, a leading provider of enterprise security and surveillance solutions, today announced a technology partnership with Yotta Data Services, integrating its SATATYA IP Video Surveillance portfolio with Yotta’s Drishticam AI Powered Cloud Native Video Surveillance as a Service(VSaaS). The integration enables organizations to transform conventional video surveillance into a centralized, cloud-managed, AI-powered security ecosystem that simplifies operations across distributed enterprise environments.As organizations continue expanding across multiple locations, security teams are increasingly looking beyond traditional on-premise surveillance systems toward cloud-native platforms that offer centralized visibility, remote accessibility, intelligent automation, and greater operational flexibility. The Matrix–Yotta integration brings together Matrix's enterprise-grade IP cameras and Drishticam's cloud-native Intelligent Video Management Platform (VMS) to deliver a comprehensive, future-ready, indigenous sovereign surveillance solution. By combining trusted hardware with an intelligent cloud platform, this partnership empowers enterprises and government organizations to modernize their surveillance infrastructure, streamline security operations, and accelerate their digital transformation through a secure, scalable, and AI-driven video management ecosystem.Built on ONVIF standards, Matrix SATATYA IP Cameras seamlessly integrate with the Yotta Drishticam Cloud AI-Powered Intelligent Video Management Platform, allowing organizations to securely stream video to the cloud while managing geographically dispersed sites through a unified interface. The integrated solution delivers centralized device management, AI-powered video analytics, encrypted cloud recording, real-time event monitoring, and secure remote access—helping organizations respond faster to incidents while improving operational efficiency.Key capabilities of the integrated solution include:Simplified Deployment: Automatic discovery and onboarding of Matrix IP Cameras using ONVIF standards for faster implementation.Centralized Cloud Management: Unified device registration, health monitoring, lifecycle management, and configuration across multiple locations.AI-Powered Video Intelligence: Advanced analytics including intrusion detection, human and vehicle classification, loitering, line crossing, crowd density, object left/removed detection, fire and smoke detection, PPE compliance, and Automatic Number Plate Recognition (ANPR), etc.Intelligent Event Management: Correlates AI-generated events with live video, recordings, snapshots, and alerts for faster investigation and incident response.Secure Cloud Operations: Encrypted cloud recording with configurable retention policies, remote access to live and recorded video, and intelligent real-time notifications across multiple communication channels.The solution is designed for organizations operating across distributed environments—including corporate campuses, manufacturing facilities, logistics and warehousing, commercial buildings, retail chains, healthcare institutions, educational campuses, critical infrastructure, and smart city projects—where centralized security operations and scalable cloud infrastructure are becoming increasingly important."Enterprise security is rapidly evolving from hardware-centric deployments to intelligent, cloud-managed ecosystems. Organizations today need surveillance solutions that are scalable, easy to manage, and capable of delivering actionable intelligence across geographically distributed operations. Through our integration with Yotta Drishticam, we are combining Matrix's enterprise-grade surveillance technology with cloud-native video management and AI-driven intelligence to help customers build more connected, efficient, and future-ready security operations."— Tarun Sharma, Senior Vice President – Marketing, Matrix Comsec."At Yotta, our vision is to make enterprise video surveillance more intelligent, accessible, and scalable through cloud innovation. Matrix's proven enterprise-grade IP surveillance camera portfolio complements Yotta Drishticam's cloud-native architecture, enabling organizations to deploy secure, AI-powered surveillance solutions that improve operational visibility while simplifying infrastructure management."— Sashishekar Panda - Executive Vice President, Business Head, Cloud and Media Services, Yotta Data Services.The partnership reflects the growing industry shift toward open, interoperable, and transformational AI-driven security ecosystems, where enterprise-grade devices, cloud-native platforms, and intelligent analytics work together to deliver greater scalability, operational visibility, and faster decision-making. By combining trusted surveillance hardware with advanced cloud capabilities, Matrix and Yotta are enabling organizations to confidently accelerate their transition toward modern, cloud-enabled security.About MatrixEstablished in 1991, Matrix is a leader in Security and Telecom solutions for modern businesses and enterprises. As a technology-driven, and customer-focused organization, the company is committed to keeping pace with the revolutions in the Security and Telecom industries.With around 40% of its human resources dedicated to the development of new products, Matrix has launched cutting-edge products like Video Surveillance Systems – Video Management Systems, Network Video Recorders and IP Camera, Access Control and Time-Attendance Systems as well as Telecom Solutions such as Unified Communications, IP-PBX, Universal Gateways, VoIP and GSM Gateways and Communication Endpoints. These solutions are feature-rich, reliable, and conform to international standards.Having global footprints in Asia, Europe, North America, South America, and Africa through an extensive network of more than 4000+ channel partners, Matrix ensures that the products serve the needs of its customers faster and longer.Matrix has ISO 27001: 2013, 20000-1 2018, 14001- 2015, and 9001: 2015 certifications for quality management standards. Matrix has also been awarded ZED Quality Certification, and DSIR Certification for indigenous R&D and Manufacturing. Matrix has gained the trust and admiration of customers representing the entire spectrum of industries.www.MatrixComsec.comAbout Yotta Data ServicesYotta Data Services is India's leading sovereign AI cloud and digital infrastructure company, offering AI cloud, sovereign cloud, data center hosting, connectivity, cybersecurity, managed IT, media services, and platform solutions for enterprises, governments, startups, researchers, and AI innovators. Yotta operates hyperscale cloud regions from its state-of-the-art data center parks in Panvel (Navi Mumbai) and Greater Noida (Delhi NCR), delivering secure, scalable, and high-performance digital infrastructure.Yotta's homegrown sovereign hyperscale cloud platform, Yntraa, is MeitY empanelled (VCC and GCC) and is deployed across large government cloud environments through white-label and PPP models. Its AI platform, Shakti Cloud, provides end-to-end AI infrastructure and services, including AI Labs, AI Workspaces, Shakti Studio for AI inference and model deployment, serverless inference, GPU-accelerated Kubernetes clusters, bare metal AI infrastructure, and access to NVIDIA AI Enterprise software and NVIDIA NIM microservices.Yotta is building one of the world's largest sovereign AI supercomputing platforms to power AI training, fine-tuning, and inference at scale. As a key AI infrastructure provider for the IndiaAI Mission, Yotta is enabling enterprises, governments, startups, and researchers to accelerate AI innovation while advancing India's sovereign AI ecosystem. Yotta is the only NVIDIA Cloud Partner (NCP) in the Asia-Pacific region selected for the NVIDIA Exemplar Cloud Initiative and one of only six NVIDIA Reference Architecture Platform Cloud Partners globally.Yotta has earned industry-leading certifications and recognitions, including compliance with the RBI Cyber Security Framework and Data Localization Framework, ISO/IEC 27017, ISO/IEC 27701 (PIMS), PCI DSS, SOC 2 Type II, and SOC 3. For more information, visit www.yotta.com.