Traditional access reviews in Identity Governance and Administration (IGA) programs often rely on static entitlement data, leading to ineffective “rubber-stamping” and limited risk visibility. This session introduces a Context-Aware Access Review Framework—an IGA-agnostic approach that transforms access certifications into intelligence-driven, risk-informed decisions. 
The framework augments existing IGA platforms by integrating behavioral telemetry from SIEM systems, peer group analytics, and data sensitivity insights from governance platforms such as Collibra and Databricks. It generates a comprehensive “identity footprint” for each account, including access usage patterns, anomalies, privilege levels, and exposure to sensitive data. 
By presenting reviewers with contextual insights, risk scores, and peer comparisons, the framework enables more informed and defensible decisions—shifting access reviews from periodic compliance exercises to continuous governance mechanisms. The approach not only strengthens security posture and enforces least privilege but also enhances auditability and operational efficiency. 
Attendees will gain a practical blueprint for implementing an intelligence layer on top of existing IGA investments, without disrupting current systems, and learn how to evolve access reviews into a meaningful, risk-driven governance capability.