The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents

Nutanix says autonomous agents create risks that traditional application controls cannot fully contain, especially once agents gain execution privileges across enterprise infrastructure. The company advocates a defense-in-depth model spanning infrastructure, storage, compute, networking, and governance controls, with each layer addressing distinct risks.

As agentic AI moves from pilots into production, security strategies are shifting from prompt guardrails toward full-stack operational controls. The emphasis on zero trust segmentation reflects a broader trend: enterprises must govern not just what agents say, but what they are allowed to do across critical systems.