Third-party security tools often operate as black boxes, leaving organizations blind when failures occur. This session explores how applied AI can monitor behavior, detect anomalies, and predict outages leading to automated and bounded mitigations across SIEM, XDR, and other platforms with a human in loop. By building independent validation layers, teams can identify silent failures early and take corrective action. Attendees will learn practical approaches to improve visibility, reduce risk, and ensure their security stack performs reliably in real-world conditions.