The objective of this project is to design a risk-based IAM system that dynamically adjusts access permissions based on contextual risk factors. The system evaluates user behavior, device information, and location data to determine appropriate access decisions.
Study risk-based authentication and contextual access control models.
Identify risk factors such as location anomalies and device changes.
Design a risk scoring engine for access evaluation.
Implement dynamic policy enforcement mechanisms.
Trigger additional authentication for high-risk scenarios.
Log contextual data for audit and monitoring.
Test system under varying risk conditions.
Evaluate trade-offs between security and user convenience.
Measure effectiveness in preventing unauthorized access.
Compare risk-based IAM with static access models.
Document system flexibility and operational challenges.
