Threat-model-first detection planning for data sources without OOTB coverage — analyzes threats, validates against live log data, and produces prioritized detection backlogs.
Threat-model-first detection planning for data sources without OOTB coverage. Analyzes what threats apply to a source type, validates against live log data, and produces a prioritized detection backlog with handoff docs for authoring skills. Use when onboarding a new data source, planning detection coverage for a…
Autonomous threat hunting using the PEAK framework — hypothesis-driven, intelligence-driven, and baseline hunts against CrowdStrike NG-SIEM with hunt reports and detection backlogs.
Autonomous threat hunting using the PEAK framework (Prepare → Execute → Act). Executes hypothesis-driven, intelligence-driven, and baseline hunts against CrowdStrike NG-SIEM. Produces hunt reports, detection backlogs, and visibility gap reports. Use when proactively hunting for threats, validating detection coverage…