Threat Hunting Methodology and Hypothesis Generation
Develop structured hunt hypotheses based on threat intelligence, the MITRE ATT&CK framework, and environmental baselines to guide proactive investigations.
What Is Threat Hunting?
Threat hunting is the proactive, human-led process of searching through networks and endpoints for adversaries who have bypassed existing security controls. Unlike reactive security (waiting for alerts), threat hunters actively look for signs of compromise using intelligence-driven hypotheses. Threat hunting assumes that some attackers are already inside the environment but have not yet been detected by automated tools.
Reactive vs Proactive Security
Traditional security operations are largely reactive — analysts respond to alerts generated by SIEMs, EDR tools, and firewalls. Threat hunting is fundamentally proactive: hunters look for threats that may not generate alerts because attackers are using legitimate tools or have evaded detection rules. Both approaches are necessary; hunting closes the gap for advanced threats that blend into normal activity.
All lessons in this course
- Threat Hunting Methodology and Hypothesis Generation
- SIEM Architecture: Log Ingestion, Parsing, and Correlation
- Writing SIEM Detection Rules and Alerts
- UEBA and Behavioral Analytics for Insider Threats