When “isolated” doesn’t mean isolated: How to sandbox AI agents
The article discusses why standard container isolation is inadequate for AI agents, which have broad default access to systems. While containers like Docker provide lightweight isolation, they share the host kernel and allow inter-container communication by default, creating security gaps. Kubernetes tools like NetworkPolicy, service meshes, and SecurityContext offer better control, but effective AI agent sandboxing requires layered security policies enforced by default across compute, network, and storage boundaries.
Key points
- Containers alone insufficient for AI agent isolation due to kernel sharing and default bridge networking
- Writable bind mounts and default permissions create unprotected boundaries
- Kubernetes NetworkPolicy, service meshes, and SecurityContext improve governance
- Effective sandboxing requires default security policies across multiple layers
Summary and key points written by AI from the headline and a short excerpt, so they can be incomplete or wrong. The New Stack did the reporting; read the original for the full story.
Read the full story at The New Stack
