Running your AI agent inside a standard Docker container does not mean it’s sandboxed—it’s just isolated until something breaks.

When an autonomous agent gets terminal execution privileges (Bash tools, package installs, code evaluation), naive containerization is a security illusion. If your container runs as root (UID 0), retains default Linux capabilities, or has network egress, a prompt injection or malicious patch can exploit kernel boundaries to escape to the host.

In our Escape-Lab attack simulations, default Docker runtimes failed against privilege escalation and cgroup release agents. The container boundary alone was never designed to be an adversarial security boundary.

To build a truly air-gapped sandbox for autonomous tool execution:

Drop All Linux Capabilities: Enforce --cap-drop=ALL. Explicitly prevent privilege escalation with security_opt: [no-new-privileges:true].

Immutable Filesystem: Mount root as strictly read-only (--read-only) with ephemeral, non-executable in-memory tmpfs mounts for /tmp.

Zero Network Egress: Lock the container to --network none. Agents evaluating untrusted code have zero legitimate reasons to initiate outbound sockets.

How do you harden container runtimes when giving AI agents shell access?

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