aidriven threat detection

Examines how AI elevates Linux security audits: automating log parsing, configuration and permission reviews, and anomaly detection at scale. Details pairing ML with tools like Lynis, OpenSCAP, and SIEM to build baselines, flag misconfigurations, and map findings to compliance. Balances speed and coverage gains with risks—false positives, drift, privacy—and outlines practical hardening and response workflows.