A hunt usually begins with a testable hypothesis, suspicious pattern, intelligence lead, or known visibility gap, then examines relevant endpoint, identity, network, cloud, or application evidence.
Hunting is valuable even when it finds no compromise, provided the search was well scoped and its assumptions were tested. It can expose missing telemetry, weak investigation paths, unsafe configurations, or opportunities for new detections. Repeated, aimless querying without a question, method, or documented outcome is not a mature hunting practice.
Key points
Starting pointsAdversary behaviors, changes in risk, incident lessons, anomalies, threat intelligence, and questions that automated analytics cannot answer reliably.
Typical workflowForm a hypothesis, define required evidence, check data quality, search and pivot, validate findings, record conclusions, and feed improvements back into controls.
Useful outcomesConfirmed or ruled-out activity, new detection logic, improved telemetry, documented baselines, and clearer response playbooks.
Important limitationA hunt can only examine the evidence available to it. No findings does not prove that the environment is uncompromised, especially where collection or retention is incomplete.