Policy-driven security in Kubernetes AI platforms enables organizations to enforce governance automatically across AI workloads, including LLMs, RAG systems, and vector databases. By using RBAC, network policies, admission controllers, Kyverno, and OPA Gatekeeper, teams can implement policy-as-code to ensure consistent security, prevent misconfigurations, and maintain continuous compliance. Integrating these controls into CI/CD pipelines helps shift security left and reduces risks in fast-moving AI environments.