AI Access Control
with Microsoft Entra
AI agents can search organisational data, use connectors, and interact with business systems well beyond what a user sees on screen, raising a new question for identity teams about what the agent itself is allowed to do. In this guide, you'll learn how Microsoft Entra brings AI agents into your existing identity governance model, covering agent identities, least privilege, and Conditional Access.
Download Your Copy of the Guide
Discover how to:
Treat AI agents as governed identities with clear ownership
Apply least privilege to agent permissions and connectors
Use Conditional Access to control agent access by risk and resource
Review and retire agent access throughout its lifecycle
AI Access Control with Microsoft Entra
An agent's permissions can look appropriate on day one and become far too broad six months later, once projects end, connectors change, and ownership becomes unclear. We've set out a practical baseline for governing AI agent access throughout its lifecycle, from initial discovery through to ongoing reviews and, where necessary, disabling an agent altogether.
Govern AI Identities
Give every AI agent a defined identity, owner, and business purpose within Microsoft Entra.
Apply Least Privilege
Scope agent permissions to exactly what each task requires, not everything the agent could reach.
Control Access
Apply risk-based access policies to agent identities, just as you would for your users.
Written by Microsoft MVPs
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