Cisco, AMD bring enterprise-level security, visibility to Ryzen AI Halo systems

Cisco and AMD have expanded their partnership to deliver a package combining AMD's Ryzen AI Halo hardware with Cisco's networking, observability, governance, and security technologies, aiming to help enterprises protect, deploy, and manage distributed AI resources. The joint architecture includes AMD's local AI platform and Cisco's Splunk, AI Defense, DefenseClaw, and Cloud Control tools to treat every AI node as a secure, managed enterprise node, addressing the shift to hybrid AI inference with thousands of deskside agents.

Cisco and AMD have expanded their partnership with a new package of hardware and security software that’s designed to help enterprise customers protect, deploy, and manage distributed AI resources. During AMD’s Advancing AI event https://www.amd.com/en/corporate/events/advancing-ai.html this week, Cisco’s president and chief product officer Jeetu Patel https://www.networkworld.com/article/4184554/how-jeetu-patel-made-cisco-unrecognizable.html took to the stage to talk about how AI inference will be widely distributed and will require an architectural stack of software and tools that Cisco and AMD https://www.networkworld.com/article/4199402/helios-marks-amds-biggest-ai-infrastructure-push-yet.html are partnering to develop. The joint architecture combines AMD’s compact, high-performance Ryzen AI Halo hardware and a variety of Cisco networking, observability, governance, and security technologies. “AMD provides the deskside/local AI platform. At the foundation is AMD Ryzen AI Halo hardware, an isolated agent sandbox and the services needed for local-first inferencing, including model routing and token limits via AMD’s Semantic Router and local inference on Lemonade,” wrote Cisco’s Yash Sheth https://www.linkedin.com/in/yash-sheth-/ , senior director, engineering and research, in a blog post https://blogs.cisco.com/ai/from-one-desk-to-the-whole-enterprise-making-local-ai-resilient about the new package. Ryzen AI Halo https://www.amd.com/en/products/processors/desktops/ryzen/ryzen-ai-halo.html?gad source=1&gad campaignid=24009436319&gbraid=0AAAAApk3AUDJs1 xMEd2YjxcG8iJu-gS4&gclid=Cj0KCQjw94bTBhDQARIsAN3vv0xmM9xu9mXa5H5zAbKFqNzUy1FPP5AS-lOA1qXh1a9bmw54LMQtYXgaArV-EALw wcB pictured below is designed to support local AI inference on an AI PC using its CPU, GPU, and XDNA neural processing unit NPU , according to AMD. A resilient AI platform should continue delivering useful AI services even when connectivity is limited, models need to change, or workloads shift, AMD stated. AMD Cisco then wraps that platform in a secure harness that includes its Splunk Agent Observability plus Splunk Infrastructure Monitoring to provide full-stack observability, tracking agent behavior, tokenomics and compute operation, according to Sheth. Cisco also brings its AI Defense https://www.networkworld.com/article/4148823/cisco-goes-all-in-on-agentic-ai-security.html for model and agent security; DefenseClaw https://www.networkworld.com/article/4179673/cisco-brings-agentic-ops-platform-and-security-overhaul-to-cisco-live.html for security policy enforcement, so guardrails are enforced directly on-device, within the agent harness; and Cisco Cloud Control https://www.networkworld.com/article/4180810/what-is-cisco-cloud-control-and-why-should-customers-care.html offering a single pane of glass for unified policy and control, Sheth stated. “To make deskside and local AI computing work at enterprise scale, every AI node must be treated as a secure, managed node in the enterprise network,” Sheth wrote. “The need for token efficiency and data sovereignty is driving a new class of computing, deskside computing, with users and teams putting AI agents right by their sides,” Sheth wrote. “Inference is moving to a hybrid architecture with thousands of ambient deskside agents in an enterprise helping employees have 24×7 productivity. That’s an extraordinary opportunity. It’s also a brand-new operating challenge.” As agentic AI moves from experimentation to real enterprise workflows, organizations need more than powerful endpoints. AI agents can run continuously and act on enterprise data, but create new requirements for network infrastructure, tokenomics, agent behavior, and security, according to a statement https://newsroom.amd.com/news/aai-2026-cisco-client-partnership-update/ from AMD. “Running more AI locally can help improve responsiveness, keep sensitive data closer to users, and reduce dependence on cloud-only approaches, but enterprises also need a way to monitor and manage these systems at scale. AMD and Cisco are addressing that gap by collaborating to pair high-performance local AI compute with the observability, governance, and control infrastructure needed for enterprises to deploy it responsibly,” AMD stated. “By combining AMD Ryzen AI Halo systems and our broader local AI software capabilities with Cisco’s enterprise networking, observability and security technologies, we are helping customers deploy AI in a way that is performant, secure, observable and manageable at scale,” said Jack Huynh, senior vice president and general manager, computing and graphics group with AMD, in a statement. A few other interesting statistics and trends cited during AMD CEO Lisa Su’s keynote https://www.amd.com/en/corporate/events/advancing-ai.html at the Advancing AI event include: