AI Governance: Runtime Enforcement, Not Runtime Advice | Docker

This post introduces the concept of runtime enforcement for AI governance, distinguishing it from mere policy advice. It details three key boundaries for agent autonomy: execution, tool access, and credential access. The post emphasizes that isolation is a fundamental security principle for creating these boundaries and mentions Docker Sandboxes as an example of how isolation concepts are being adapted for agent execution workflows. It argues that clear boundaries build trust and enable developers to delegate more work to agents.