AI investigation performs contextual, hypothesis-driven analysis across multiple telemetry sources to execute L2/L3-quality investigations at scale rather than merely speeding up triage. Production cases at Prophet Security show the AI reconstructing a cloud credential compromise and detecting intent in a legitimate-appearing phishing email with full query-level transparency. #ProphetSecurity #AWS
Keypoints
- AI can autonomously query and correlate multiple telemetry sources to test hypotheses and reach defensible conclusions.
- Produdction investigations reconstructed a cloud credential compromise and identified a TOAD-style phishing attack that passed authentication checks.
- The AI executed hundreds of queries across tools like SIEM, GuardDuty, Wiz, CrowdStrike, IPINFO, and Spur to build evidence chains.
- Full transparency of every query and intermediate conclusion is essential for analyst trust and actionable findings.
- Agentic AI flattens SOC tiering by providing consistent investigative depth and freeing analysts for strategic work.
Read More: https://thehackernews.com/expert-insights/2026/03/ai-soc-investigation-has-moved-beyond.html