Runtime enforcement is more effective than policy-based advice for governing AI agents. Three key boundaries define agent governance: execution (what code/commands an agent can run), tool access (which external services it can interact with), and credentials (what permissions it can act with). Isolation mechanisms like containers and sandboxes help make agent capabilities predictable rather than unrestricted. Docker Sandboxes is presented as one approach to enforcing these boundaries. The core argument is that clear governance boundaries build developer trust, enabling broader and faster adoption of AI agents rather than limiting them.
Table of contents
Policies Alone Are Not EnoughThe Three Boundaries Behind Developer ConfidenceA Simple Architecture ViewThe Role of IsolationGovernance Beyond Code ExecutionBuilding Trust Through Boundaries286 Impressions