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hunting-threats

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Run hypothesis-driven threat hunts across endpoint, network, cloud, and identity telemetry using stack counting, outlier analysis, and ATT&CK-based hypotheses, with SIEM query patterns for Splunk, KQL, and Elastic. Use when proactively searching for undetected compromise, validating an intel report against your environment, or converting a hunch into a repeatable hunt.

secskills-defense/skills/hunting-threats/SKILL.md

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# Hunting Threats

Hunting starts from an assumption of failure: the controls are deployed, no
alert has fired, and the adversary may still be present. The output is not
usually a compromise — it is a detection, a telemetry gap, or a documented
negative result. Hunts that only count as successful when they find something
degrade into confirmation bias.

## When to Use

- Proactively searching for compromise that detection missed
- Testing a specific hypothesis about attacker behaviour in your environment
- Operationalizing a threat intel report against your telemetry
- Validating that a control or detection actually works in production
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