Zero‑Trust Blueprint for Securing Kubernetes Clusters Running AI Agents
The article outlines how AI workloads expand Kubernetes attack surfaces and proposes a zero‑trust networking model—private endpoints, network‑isolated clusters, and strict egress controls—to protect GPU nodes and data. It shows Azure Kubernetes Service implementations that enforce private image pulls and gateway APIs for safer AI agent execution.