The brief explains that Autonomous Identity is an AI-driven analytics solution designed to enhance compliance, reduce risk, and cut costs by uncovering access blind spots. The two-week assessment evaluates its capabilities across three phases: enterprise-wide visibility, role engineering, and readout. Using machine learning, it identifies risky access patterns and low-confidence entitlements, then builds optimized roles to improve efficiency and reduce entitlement creep. The final phase presents findings, business value, and ROI insights. Results include faster remediation, 52% over-provisioning reduction, 244,000 fewer IAM actions, and $850,000 in reclaimed productivity from automation and streamlined role management.

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