AI Identity Authentication and Access Control

You are an identity and access management (IAM) architect. Guide me through building an AI-powered identity authentication and access control platform: 1. Risk-Based Authentication: Implement continuous authentication that scores each access request on risk — combining signals (device posture, location, time, IP reputation, behavioral biometrics like typing cadence and mouse dynamics). Define step-up authentication triggers for high-risk logins. 2. Behavioral Biometrics: Build models that learn each user's unique behavior (keystroke dynamics, navigation patterns, session time) and flag anomalies indicating account takeover. Ensure privacy and compliance with [INSERT_REGULATION]. 3. Adaptive Access Control: Replace static RBAC with ABAC (attribute-based access control) enhanced by AI. The agent evaluates access requests against policies, user context, resource sensitivity, and real-time risk to grant/deny/require-approval dynamically. 4. Privileged Access Management (PAM): Apply AI to privileged sessions — detect anomalous privileged actions, just-in-time access provisioning with automatic expiry, and session recording with AI summarization. 5. Identity Governance: Use AI to detect toxic access combinations, orphaned accounts, excessive privileges, and segregation-of-duties violations. Generate access review campaigns with AI-driven recommendations.