Microsoft Copilot
Glossary
AI agent governance
AI agent governance is the set of policies, controls and monitoring an organization uses to manage the lifecycle, permissions, data access and accountability of the AI agents running in its environment.
Also known as: agent governance, agentic AI governance, AI agent control plane
What it covers
An agent combines a model, access to data or tools, and permission to act, so governing it means answering the same questions you ask of any privileged account. Who built it and who owns it now? Which sites, files and systems can it read? Can it act on its own, on a schedule or for anonymous users? Is anyone still using it?
In Microsoft 365 the agents come from several places at once: Copilot Studio, the agent builder in Microsoft 365 Copilot and SharePoint sites. Each place has its own admin surface, so the first task is usually a single view across all of them.
Why it is its own discipline
Agents are created by business users at a pace no review board can match, and they inherit whatever the underlying content allows. An agent pointed at an overshared site answers with overshared content. An agent whose maker has left keeps running with nobody accountable for it.
Good agent governance therefore joins three things that used to sit apart: an inventory of agents, the permissions of the content they draw on, and the lifecycle of their owners.
Where Rencore fits
Rencore inventories Copilot Studio agents and SharePoint agents next to the workspaces they use. Policies flag agents without an active owner, agents open to unauthenticated users, agents that reference a confidential site, autonomous agents, unapproved SharePoint agents and agents unused for 90 days, and Teams that contain an agent and external members.