Episode 48 — Run the threat hunting process from hypothesis to defensible conclusions
This episode teaches the full threat hunting workflow in a way the GSOM exam expects you to apply, emphasizing that hunts must produce defensible conclusions, not just interesting charts. You will learn how to form a hypothesis from threat intelligence, environmental knowledge, or observed anomalies, then translate it into specific questions your telemetry can answer, including what data sources, fields, and time ranges are required. We will discuss how to test hypotheses iteratively, refine queries, validate findings against known-good behavior, and document decisions so another analyst can reproduce the reasoning and results. Troubleshooting scenarios include false patterns caused by incomplete normalization, gaps created by missing endpoint or cloud logging, and ambiguous results that require targeted data collection or a focused follow-up hunt, with best practices for declaring outcomes such as confirmed malicious activity, benign explanation, or insufficient evidence. 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.
