Design an AI-powered system that detects insider threats by analyzing user access patterns, data movement, and anomalous behaviors within organizational systems.
Study insider threat models and behavioral analysis.
Identify user activity logs for analysis.
Design anomaly detection architecture.
Implement machine learning-based risk scoring.
Detect privilege misuse patterns.
Simulate insider data exfiltration scenarios.
Evaluate detection sensitivity.
Implement alert prioritization system.
Reduce false positives via adaptive learning.
Document ethical and privacy concerns.
