Shadow AI Governance: Control Unauthorized Copilot Pilots
Diesen Beitrag auf Deutsch lesen
Unmanaged Copilots, agents and workflows can create permission, ownership and data leakage risks. Use discovery, risk ranking, CoE intake and least privilege to govern them.
TL;DR
Microsoft 365 Copilot, Power Platform agents, Power Automate flows and Azure AI applications should be inventoried with their data sources, business owners, users and action capabilities. A CoE intake process can route low-risk ideas quickly while requiring deeper reviews for agents handling regulated data or autonomous actions. Existing Microsoft 365 permissions must also be audited.
Original on M365.fm. Read the original · suggested by Mirko Peters
This is our own summary, not a republication or full translation.
Governance takeaway
- Makers: Record the data sources, intended users and action capabilities of every Copilot, agent or flow so useful experiments do not become unsupported technical debt.
- Admins/CoE: Create an inventory and lightweight intake process, assigning a business owner and routing high-impact agents to deeper review.
- Security/Compliance: Apply least privilege to agent identities and audit existing SharePoint permissions because Copilot surfaces content users are already allowed to access.
Frequently asked questions
How should an organization inventory Power Platform agents and Copilot pilots?
Record each solution's data source, business owner, intended users and ability to trigger automated actions, including Power Automate flows and Azure AI applications.
What should a CoE intake form ask about an AI agent?
The intake should capture the problem, target users, consumed data, write actions and external API calls, while assigning a designated business owner.
How does Microsoft 365 Copilot reveal SharePoint oversharing?
Copilot follows existing user permissions and can surface content from broadly accessible SharePoint locations faster than people typically discover it manually.