Managing roles and groups across sprawling applications has become unmanageable, often leading to overly complex or ineffective models. CyberArk AI Profiles addresses this by using proprietary machine learning to analyze users, apps, and permissions, then recommend precise permission profiles tied to job functions. Application or resource owners approve these profiles, which are then automatically applied to provisioning and access reviews, reducing redundant approvals and administrative overhead. This approach automates most manual role management work, improves audit completeness, and keeps profiles continuously updated, cutting role and group management efforts by up to 80%.

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