Container Isolation Gaps: Securing LLM Agents in Kubernetes

Kubernetes' standard pod isolation is insufficient for LLM workloads that execute untrusted code and interact with external tools. As AI agents gain agency through tool calling and code execution, they demand runtime-level containment beyond Kubernetes' default kernel-sharing model. RuntimeClass and alternative runtimes like gVisor and Kata offer the isolation boundaries necessary to safely run multi-tenant LLM services.