A consulting process built for evidence, validation, and handoff
Engagements move from telemetry and detection reality to a working, explainable pipeline — whatever the underlying stack — without hiding tradeoffs behind vague recommendations.
- 01
Discovery
Clarify goals, operating constraints, tooling, pain points, and the workflows that need improvement.
- 02
Telemetry Mapping
Map alert flows, log sources, and telemetry across the stack to see where investigation context lives.
- 03
Detection Review
Review detection quality, false positive patterns, coverage gaps, and escalation paths.
- 04
Pipeline Design
Define the target platform workflow, normalization model, integrations, and explainable decision flow.
- 05
LLM Enrichment Layer Integration
Add localized LLM enrichment for summarization and reasoning while keeping humans in control of decisions.
- 06
Validation + Feedback Loop
Validate noise reduction and explainability, then wire analyst outcomes back into safer future decisions.
Evidence discipline
Findings carry the same envelope the platform puts on alerts: what decided it, where it came from, how fresh it is.
Validation before change
Detection changes are reviewed against the analyst outcomes that motivated them, with the expected impact stated rather than assumed.
Honest coverage
Telemetry gaps are named with what they forfeit, so recommendations never rest on evidence that was never collected.
See it working
The console is on this site
Walk one alert from detection to a defensible decision — evidence, blockers, and the gaps the platform refuses to paper over. Runs in your browser on synthetic data.
ClarityPipeline™
Validate the workflow before changing the workflow
Use discovery to determine whether the next step should be an assessment, implementation engagement, or advisory retainer.