Data exfiltration is a slow-burn threat that bypasses perimeter defenses, often going undetected for weeks. A custom autonomous hunting workflow automates the continuous analysis of outbound traffic, cloud storage API calls, and file transfer logs for anomalies indicative of theft. By correlating signals from DLP policies, UEBA, and network traffic analysis (NTA) tools, this system identifies suspicious bulk transfers, unauthorized encryption, or anomalous data flows to external endpoints, converting a manual, reactive hunt into a scalable, always-on control layer that directly reduces data loss risk and regulatory fines.




