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By examining historical access logs, the agent identifies permissions that are unused within a set period or no longer needed due to project completion or role changes. It utilizes Large Language Model (LLM) capabilities to deliver clear, contextual explanations for each flagged issue, enabling IT and security teams to assess and address risks with greater clarity and precision.

In addition to finding outdated access, the agent highlights anomalies such as department changes without corresponding updates to user privileges. These insights support more accurate access reviews, reduce exposure to unauthorized access, and ensure alignment with least-privilege principles. In doing so, the Access Governance AI Agent helps strengthen security and streamlines the process of managing user entitlements.

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Information Technology

Access Governance AI Agent

Monitors access drift and misalignments using LLMs to explain redundant privileges and streamline continuous access governance.