Episode 47 — Proactive Detection and Analysis: threat hunting and active defense fundamentals
This episode introduces threat hunting and active defense as proactive practices that complement alert-driven monitoring, which GSOM tests because SOC maturity includes finding what detections miss and increasing attacker friction. You will define threat hunting as hypothesis-driven analysis across data sources to discover suspicious patterns that have not yet triggered reliable alerts, and active defense as deliberate actions that improve visibility and constrain adversary movement without reckless interference. We will connect these concepts to exam relevance by explaining when a hunt is the right choice, how hunts inform detection engineering, and how active defense can be implemented safely through improved telemetry, controlled deception, and hardened pathways rather than risky counterattacks. Real-world scenarios include hunting for credential misuse across identity logs, suspicious process chains on endpoints, or lateral movement patterns in network data, with troubleshooting considerations like incomplete coverage, noisy baselines, and unclear success criteria. 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.
