Large language models, vector databases, AI agents, and tool-calling services are increasingly being deployed on Kubernetes, introducing new security challenges around identity, access, and trust. In this session, we will explore how Zero Trust principles can be applied to AI workloads running on Amazon EKS. Through a live demo, we will build and secure a small AI platform using workload identity, service-to-service authentication, network isolation, least-privilege access, and policy enforcement. Attendees will see how identity-based controls can help prevent unauthorized access, limit lateral movement, and reduce the blast radius of compromised workloads, while gaining practical patterns for securing modern AI systems on Kubernetes.