Akamai and Nvidia expand AI factory security collaboration with Zero Trust integration

Akamai partners with Nvidia on AI factory security integration By Investing.com

CAMBRIDGE, Mass. - Akamai Technologies (NASDAQ:AKAM) announced today an expanded collaboration with Nvidia to integrate security capabilities into AI infrastructure systems. The $23.3 billion cybersecurity and cloud services provider has seen its stock surge over 100% in the past year, currently trading at $160.19. The partnership will bring Akamai Guardicore Segmentation to Nvidia Vera BlueField-4 STX storage architecture, powered by the Nvidia DOCA software platform, according to a press release statement. The integration is designed to implement Zero Trust security within AI factory environments. The combined solution aims to enable workload-aware segmentation and threat containment at the infrastructure layer. Akamai Guardicore Segmentation provides continuous mapping of how workloads, applications and data interact across data centers, cloud infrastructure, Kubernetes clusters and edge systems. Nvidia Vera BlueField-4 STX applies security policies in the data path at line speed within the infrastructure fabric. "AI 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," said Ofer Wolf, Senior Vice President of Enterprise Security at Akamai.The partnership announcement comes as Akamai trades near its 52-week high of $165.45, though InvestingPro analysis suggests the stock is currently overvalued relative to its Fair Value. For investors seeking better value opportunities, InvestingPro's Most Overvalued stocks list provides comprehensive analysis across market sectors. Kevin Deierling, Senior Vice President of Networking at Nvidia, stated that "data is the foundation of agentic AI factories, powering the intelligence behind autonomous decision-making and making robust protection more critical than ever for enterprises." The integration builds on an architecture agreement the two companies introduced in February 2026. Security policies in the combined system are defined by workload identity, application context and runtime behavior rather than static network addresses. Akamai Guardicore Segmentation integrated with Nvidia BlueField and Nvidia DOCA is expected to be available in the second half of 2026. The integration with Nvidia Vera BlueField-4 STX is expected to be available on storage and infrastructure partner platforms in the first half of 2027.For deeper insights into Akamai's financial health and growth prospects, investors can access the comprehensive Pro Research Report, available exclusively through InvestingPro for this and 1,400+ other US equities. In other recent news, Akamai Technologies completed a $3.5 billion convertible note offering, which included $1.75 billion of 0.00% Convertible Senior Notes due in both 2030 and 2032. This private placement followed an increase from an initially announced $2.6 billion offering. The initial purchasers, including firms like J.P. Morgan Securities and Goldman Sachs, exercised options to purchase additional notes. Moody's Ratings affirmed Akamai's Baa2 issuer rating but revised the outlook to negative due to the substantial increase in debt aimed at funding AI-related infrastructure. The raised funds exceed current capital expenditure needs, with the excess likely reserved for future AI-related projects. Additionally, Akamai launched AI Brand Presence, a service to optimize website content for AI search engines, as AI bot traffic on its network surged over 300% year over year. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Akamai Technologies, Inc. and Nvidia Corporation Expand Security Collaboration for Ai Factories

Akamai Technologies, Inc. announced that it is collaborating with NVIDIA Corporation to bring an advanced security architecture into AI factories. The two companies announced an expansion of their security collaboration to bring Akamai Guardicore Segmentation to the NVIDIA Vera BlueField-4 STX storage architecture, powered by the NVIDIA DOCA software platform. 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. 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. The expanded Akamai?NVIDIA integration, which builds on the architecture agreement that two companies introduced last February, is designed to remove that trade-off. Akamai Guardicore Segmentation 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. 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?t 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. The combined solution operates on the principle that intelligence must precede enforcement: Akamai Guardicore Segmentation continuously maps communication relationships across data centers, cloud, Kubernetes, and edge systems. Its agentless architecture observes AI workloads, including training pipelines, inference services, data ingestion systems, and orchestration platforms, without interfering with them. Workload identity, application context, and runtime behavior are used to define explicit communication policies. A preprocessing node may access a dataset and a training service but nothing beyond that scope. Research environments are explicitly separated from production inference. Pods can scale and services can evolve without weakening the policy boundary. NVIDIA DOCA applies those policies in BlueField-4 silicon, in the data path, at line speed. Security functions, including segmentation, telemetry, anomaly detection, and isolation of compromised systems, run inside the infrastructure fabric rather than on the host. When a workload is compromised, the blast radius is limited to a small, identified segment of the environment. The rest of the AI factory continues operating uninterrupted. Akamai Guardicore Segmentation integrated with NVIDIA BlueField and NVIDIA DOCA is expected to be available in the second half of 2026 for implementing workload-aware segmentation in AI factories. Akamai's integration with NVIDIA Vera BlueField-4 STX is expected to be available on storage and infrastructure partner platforms in the first half of 2027.