{"id":969626,"date":"2026-06-02T14:49:24","date_gmt":"2026-06-02T18:49:24","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/akamai-brings-security-inside-ai-factories-with-nvidia\/"},"modified":"2026-06-02T14:49:24","modified_gmt":"2026-06-02T18:49:24","slug":"akamai-brings-security-inside-ai-factories-with-nvidia","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/akamai-brings-security-inside-ai-factories-with-nvidia\/","title":{"rendered":"Akamai Brings Security Inside AI Factories with NVIDIA"},"content":{"rendered":"

\nAkamai Guardicore Segmentation and NVIDIA DOCA bring real-time, Zero Trust enforcement to AI factory data, context memory, and agentic AI workloads, with NVIDIA Vera BlueField-4 STX
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CAMBRIDGE, Mass., June 02, 2026 (GLOBE NEWSWIRE) — Akamai (NASDAQ: AKAM) is collaborating with NVIDIA to bring an advanced security architecture into AI factories \u2014 the foundation of the agentic era.<\/p>\n

The two companies today announced an expansion of their security collaboration to bring Akamai Guardicore Segmentation to the NVIDIA Vera BlueField-4 STX<\/u><\/a> storage architecture, powered by the NVIDIA DOCA software platform<\/u><\/a>. The collaboration is designed to layer Zero Trust architecture into the AI factory itself, protecting the data, context memory, and autonomous agents that increasingly run modern enterprises.<\/p>\n

This novel security integration will enable AI factory operators to enforce workload-aware segmentation, monitor agent behavior, and contain threats at the infrastructure layer, operating at the speed of accelerated computing without taxing the GPU, CPU, or storage cycles that AI workloads depend on.<\/p>\n

\u201cAI factories are becoming critical assets that must be designed for containment, especially as frontier LLM-driven attacks increase the speed and scale of cyber threats,\u201d said Ofer Wolf, Senior Vice President, Enterprise Security at Akamai. \u201cIn environments where every clock cycle matters, traditional host-based security tools behave like a speed bump on a racetrack. By moving workload-aware segmentation onto NVIDIA Vera BlueField-4 STX and DOCA, we are enforcing Zero Trust at the speed of AI workloads themselves, helping organizations contain threats before they spread across high-performance environments.\u201d<\/p>\n

\u201cData is the foundation of agentic AI factories, powering the intelligence behind autonomous decision-making and making robust protection more critical than ever for enterprises,\u201d said Kevin Deierling, Senior Vice President, Networking at NVIDIA. \u201cThe Akamai Guardicore enterprise security platform and NVIDIA Vera BlueField-4 STX brings a Zero Trust layer directly into the infrastructure fabric, helping protect enterprise data by intelligently controlling how AI workloads communicate at scale.\u201d<\/p>\n

\n Security at the speed of accelerated computing<\/strong>
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AI factories are being built faster than they can be secured. Until now, there has been a trade-off between fast AI and secure AI. But that compromise that\u2019s no longer tenable.<\/p>\n

The expanded Akamai\u2013NVIDIA integration, which builds on the architecture agreement that two companies introduced last February, is designed to remove that trade-off.<\/p>\n

Akamai Guardicore Segmentation, which protects some of the world\u2019s largest and most sensitive organizations, provides the intelligence layer, continuously mapping how workloads, applications, and data interact across hybrid environments that include data centers, cloud infrastructure, Kubernetes clusters, and edge systems. Policies are defined by workload identity, application context, and runtime behavior, not by static network addresses. Visibility extends across the full lifecycle of AI workloads, surfacing abnormal patterns and unauthorized access to sensitive data.<\/p>\n

NVIDIA Vera BlueField-4 STX, programmable through NVIDIA DOCA, provides the threat detection and enforcement layers in silicon. Security policies are applied in the data path at line speed, inside the infrastructure fabric rather than on the host. Enforcement moves closer to the workload itself, so it won\u2019t trip up the GPUs, CPUs, and storage processors that AI factories depend on. Together, the two layers establish identity-based Zero Trust as a property of the infrastructure rather than an additional product.<\/p>\n

\n How the integration works<\/strong>
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The combined solution operates on the principle that intelligence must precede enforcement:<\/p>\n