Episode 91 — Detection Engineering Basics: From Hypothesis to Rule
Detection engineering bridges the gap between raw telemetry and actionable alerts, and this episode explores how the process works. You’ll learn how analysts form hypotheses about attacker behavior, translate those into detection logic, and validate results against real data. The discussion breaks down rule types—correlation rules, threshold alerts, and anomaly detection—and explains how each supports specific investigative goals. We also cover frameworks like MITRE ATT&CK, which help structure detection ideas around tactics and techniques rather than isolated events.
Listeners will see how tuning, testing, and feedback loops make detections reliable instead of noisy. We discuss false positives, rule expiration, and metrics like mean time to detect (MTTD) that measure program health. Practical examples show how simple log queries evolve into advanced detections that identify privilege misuse or lateral movement. This episode helps you connect exam topics on monitoring, response, and continuous improvement, demonstrating how thoughtful detection design transforms logs into intelligence. 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.
