The product ingests threat intelligence feeds, security telemetry, detection rules, and incident data to identify emerging patterns and coverage gaps. It recommends prioritized detection improvements, ML^?-backed anomaly hypotheses, and risk-ranked rule updates that analysts can review and push into existing SIEM, EDR, or cloud security workflows.

Job postings repeatedly show companies investing in large-scale telemetry analysis, ML^?-based threat detection, anomaly detection, and proactive threat hunting. The threat landscape is changing quickly enough that manual detection tuning is becoming a bottleneck.