AI-agenten veilig draaien op Kubernetes: vertrouwensgrenzen en monitoring

Autonomous AI agents operating on Kubernetes require new security approaches that differ from traditional container workloads. The article presents production-tested patterns including job-based isolation, credential management through Vault, and a four-phase trust model that gradually transitions from shadow mode to full autonomous operation. Enhanced observability is essential for monitoring the non-deterministic behavior of AI reasoning cycles in cloud environments.