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What We Learned Securing AI Agents at Scale on Multi-Tenant Kubernetes Clusters

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Describes a defense-in-depth architecture for running hundreds of personal AI agents on a shared Kubernetes cluster using Kata Containers for VM isolation, Agent ID via OIDC federation to give each agent a unique cloud identity with scoped access, NetworkPolicy to block IMDS and lateral movement, ValidatingAdmissionPolicy to stop exec breakouts, and governance guardrails with audit logging to enforce blast-radius limits.

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