F5 and Equinix team up to secure enterprise AI across hybrid clouds
F5 (NASDAQ: FFIV) and Equinix announced a collaboration to help enterprises deploy and govern distributed artificial intelligence across hybrid and multicloud environments, according to a press release from F5.
The arrangement combines F5 AI Guardrails with the Equinix Distributed AI Hub, creating what the companies describe as a policy-enforced AI control plane. AI traffic runs over private interconnects, with governance controls applied across clouds, models, and agents.
F5 AI Guardrails applies policy-based controls during AI interactions to detect and block data leakage, policy violations, and harmful outputs. The Equinix Distributed AI Hub connects enterprises to AI infrastructure providers across a network of more than 280 data centers and more than 10,000 customers.
The combined framework is designed to support compliance with regulations including GDPR, HIPAA, and the EU AI Act, with unified dashboards and audit-ready reporting. F5's AI Guardrails is deployed as an on-premises solution within Equinix facilities, targeting organizations with data sovereignty requirements.
"Enterprises want to move fast with AI, but security gaps, fragmented governance, and compliance uncertainty keep slowing them down," said John Maddison, Chief Marketing Officer at F5. "Together with Equinix, we are giving organizations a way to deploy distributed AI across hybrid and multicloud environments with the speed and flexibility they need, while ensuring every AI interaction is protected, governed, and audit-ready."
"Equinix is the neutral platform where AI, cloud, and networking infrastructure converge," said Brian Stein, Senior Vice President of Infrastructure at Equinix. "By combining F5 AI Guardrails with the Equinix Distributed AI Hub, we offer customers a simpler and smarter vendor-neutral foundation to build and scale distributed AI with confidence."
The framework also incorporates F5 AI Red Team, which the company says can identify exploitable weaknesses against guardrail policies.
