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Cisco is partnering with NVIDIA and Supermicro to integrate DPUs into the AI Factory architecture, enabling rack-scale isolation of inference workloads and independent enforcement of agent access controls. This infrastructure-level approach addresses the critical need for visibility and security as autonomous agents scale from individual servers to shared enterprise environments without relying on application-specific defenses.
Sources coveringCisco Blogs, Docker Blog, SiliconANGLE, Fortune
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Securing AI Agents Across the AI Factory

Cisco Blogs7 min read

Cisco is exploring DPU-based security to help enterprises scale AI agents, control access and data flows, isolate inference workloads, and improve visibility.

As AI agents take on more work, organizations face a new challenge: how do they give agents the access they need to be useful, without giving up control over what they can do? That challenge only grows as AI infrastructure scales from individual servers to rack-scale systems and shared AI environments. Organizations need to know who an agent can reach, what actions it can take, and where data can flow. At NVIDIA GTC Berlin, Cisco will spotlight how infrastructure-level security can help address this challenge. Cisco recently announced the expansion of Cisco Secure AI Factory with NVIDIA to rack-scale through a partnership with Supermicro. This gives customers a path to deploy next-generation AI infrastructure with Cisco networking, security, and observability built into the architecture. It includes NVIDIA Cloud Partner (NCP)-compliant reference architecture for neocloud and sovereign clouds and expanded Enterprise Reference…

Excerpt shown under the publisher's RSS terms · 141 words · full text and figures are on the publisher's site

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