Episode 54 — SIEM Use Cases: Alerts, Detections, and Tuning
A Security Information and Event Management (SIEM) platform is only as valuable as the detections it produces. This episode examines how SIEM systems aggregate, correlate, and alert on log data to reveal meaningful security events. You’ll learn how analysts define use cases—structured patterns that turn raw telemetry into insights—and how correlation rules connect disparate indicators into a single narrative. The conversation highlights why tuning is critical: too many false positives erode confidence, while too few alerts miss emerging threats.
We also explore common GSEC-relevant use cases, including privilege escalation, anomalous login locations, and data exfiltration patterns. The episode explains how to validate detections through testing, feedback loops, and alignment with threat frameworks like MITRE ATT&CK. You’ll come away understanding that a tuned SIEM is not a one-time setup but a living system requiring continuous learning. These lessons prepare listeners to discuss detection engineering and operational monitoring in both exam settings and professional environments. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
