Design multi-event behavioral detection rules using CrowdStrike NG-SIEM correlate() function. Use when building attack chain detections, correlating multiple events across time windows, or creating behavioral rules that detect complex threat patterns across AWS, EntraID, and CrowdStrike data sources.
Analyze CrowdStrike NGSIEM detections for tuning opportunities based on environmental context, recent false positives, and available enrichment functions. Use when tuning detections (including behavioral rules with correlate()), reducing false positives, enhancing detection coverage, or reviewing OOTB templates for…
Build CrowdStrike Falcon Fusion SOAR workflows. Discover actions via live API, author YAML using our resource schema, validate locally, and save to resources/workflows/. Use when asked to create a Fusion workflow, SOAR playbook, or automate detection response.
Develop, optimize, and troubleshoot CrowdStrike LogScale (Humio) security detection queries using CQL syntax. Use when writing LogScale queries, building security detections, creating threat hunting rules, fixing CQL syntax errors, working with CrowdStrike EDR/Falcon security monitoring, or building behavioral rules…
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 (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…
12 4mo agoA71 tokens
originalMIT
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