Access Request Recommendation uses AI to propose access decisions, enabling faster, tighter access governance, by recommending decisions from roles, entitlement history, and policy, across identity governance and access management.
Access requests and periodic reviews require deciding whether each entitlement is appropriate, judged against roles, history, and policy. Reviewers rubber-stamp under volume, accumulating excess access that widens the attack surface.
The AI generates a recommendation on access requests from role profiles, entitlement history, and policy constraints, proposing approve, deny, or review decisions for an approver to confirm.
Shortens access review cycle time and reduces standing excess entitlements across the estate.
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