Are Risks Revealed in Actions or Activity? Understanding Behavioral Analytics in Cybersecurity

This whitepaper-style report argues for advancing from signature and single-domain anomaly detection to AI/ML-driven, cross-domain behavioral analytics and real-time SOAR integration to predict and prevent fraud and intrusions; it details where behavioral analytics excels (insider threats, volume attacks, post-compromise anomalies), where it fails (low-and-slow, living-off-the-land, internal exfiltration), provides an illustrative multi-week supply-chain compromise example, and recommends fusing device, identity, transaction, and external threat signals for predictive defense.