Governed AI Agents
Governed AI agents are autonomous AI systems that operate inside a defined control boundary: they carry their own identity, act only within scoped permissions, pause for human approval on consequential actions, and leave a record of everything they did.
What governed AI agents means
The word "governed" names the difference between a demo and a production system. An ungoverned agent can reach whatever its developer reached, act under someone else's credentials, and leave no record beyond its own logs. A governed agent is registered before it runs, identified on every call, checked against policy before each action, and gated to a named human whenever the action is consequential — moving money, changing records, contacting customers. The controls live outside the agent, in infrastructure the agent cannot rewrite. This is the pattern regulators and auditors converge on regardless of framework: identifiable agents, attributable actions, tested stops, auditable evidence. Moring builds governed agents for banking, insurance, healthcare and mission-critical operations, and the AI Control Plane is the boundary they run inside.
Frequently asked questions
What makes an AI agent "governed"?
Four properties: its own identity (not a shared credential), scoped permissions checked before each action, human approval gates for consequential actions, and a record of every action and approval. If any is missing, the agent is autonomous but not governed.
How is a governed agent different from an agent with good logging?
Logging records what happened; governance decides what may happen. A well-logged ungoverned agent still takes every action it can reach. A governed agent has the action checked — and where required, stopped or gated to a human — before execution.