Episode 46 — Build Detection Use Cases That Map to Real Adversary Behavior (Task 6)
This episode teaches how to build detection use cases that map to real adversary behavior rather than generic “bad event” lists. You will learn to start with an attacker objective, translate it into observable behaviors, and identify the telemetry sources required to detect those behaviors reliably. We will discuss how to write detection logic that is resilient to minor variations, such as focusing on sequences, relationships, and unusual combinations rather than single indicators. You will also hear examples of use cases tied to credential abuse, persistence creation, lateral movement, and data staging, along with guidance on defining expected false positives and required enrichment. Exam questions often test whether you can choose the most appropriate detection approach for a given threat, considering visibility limits, data quality, and the need for an investigation-ready alert. 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.
