Methodology

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.

  1. 01

    Discovery

    Clarify goals, operating constraints, tooling, pain points, and the workflows that need improvement.

  2. 02

    Telemetry Mapping

    Map alert flows, log sources, and telemetry across the stack to see where investigation context lives.

  3. 03

    Detection Review

    Review detection quality, false positive patterns, coverage gaps, and escalation paths.

  4. 04

    Pipeline Design

    Define the target platform workflow, normalization model, integrations, and explainable decision flow.

  5. 05

    LLM Enrichment Layer Integration

    Add localized LLM enrichment for summarization and reasoning while keeping humans in control of decisions.

  6. 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.

lowers concernincreases concern

Validation before change

Detection changes are replay-validated against recorded activity before they ship — expected impact stated, not assumed.

replay validationexpected impact

Honest coverage

Telemetry gaps are named with what they forfeit, so recommendations never rest on evidence that was never collected.

✓ covered◑ partial✗ blind spot

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.

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