Microsoft Copilot
Glossary
AI governance
AI governance is the set of policies, controls and oversight practices an organization uses to keep its AI tools, agents and the models behind them safe, accountable and compliant.
Also known as: AI oversight, artificial intelligence governance
What it covers
AI governance answers a small set of questions for every AI system in use: what exists, who owns it, who may use it, what data it can reach, what it costs, and what evidence shows it is under control. In practice that means an inventory, named owners, risk classification, access control, usage monitoring and an audit trail.
It extends the discipline an organization already applies to identity and data to the assistants and agents that read data and act on it.
Why it has to cover more than one vendor
Most enterprises run Microsoft 365 Copilot next to other AI assistants and agents built in-house. Governance that stops at one vendor leaves the rest unmanaged, and regulation such as the EU AI Act attaches obligations to how a system is used, whoever supplied it.
Ungoverned AI also amplifies weaknesses that already exist. If content is overshared, an assistant finds it faster and shows it to more people. Fixing access before rollout is part of AI governance.
Where Rencore fits
Rencore governs AI in the same control plane as Microsoft 365 and Power Platform. It inventories Copilot usage and the agents built in Copilot Studio and on SharePoint, runs access reviews on the content they can reach, and checks policies continuously. Coverage beyond Microsoft is listed below with its current stage.