As enterprises migrate identity stores and access controls to the cloud, managing who can do what across hundreds of applications and cloud services has become a major challenge. AI‑driven identity and access governance platforms analyze access patterns, entitlements, and role memberships to detect over‑privileged users, dormant accounts, and policy‑drift opportunities. Machine learning models can recommend role‑based access adjustments, highlight risky cross‑tenant permissions, and trigger automated certification campaigns for access reviews. These tools integrate with cloud IAM providers, HR systems, and compliance frameworks, enabling continuous monitoring of segregation of duties, time‑bound access, and least‑privilege adherence. By combining AI‑driven insights with automated approval and clean‑up workflows, organizations reduce insider‑risk exposure while maintaining audit readiness and regulatory compliance.