A method that refuses unsupported conclusions.

The sequence is deliberate. We do not score what we have not seen, and we do not recommend what we cannot trace to evidence.

  1. 01

    Discover

    Understand the organization, operating model, and the questions leadership needs answered.

  2. 02

    Scope

    Define assets, environments, constraints, evidence sources and what is explicitly out of scope.

  3. 03

    Collect

    Gather technical evidence from agreed sources. Record provenance, freshness and gaps.

  4. 04

    Validate

    Test whether evidence actually supports the control or claim under review.

  5. 05

    Analyze

    Correlate findings, exposure and business context. Separate noise from material risk.

  6. 06

    Prioritize

    Rank remediation by impact, exploitability and operational feasibility—not by tool default scores alone.

  7. 07

    Assure

    Package evidence-linked conclusions, residual risk and a path for follow-on assurance.

Evidence-first model

Technical evidence is the primary artifact of truth. Policies, interviews and tooling output are useful, but they are not treated as proof until they can be corroborated. Where evidence is missing, incomplete or stale, that gap is recorded as such—never filled with assumption.

Human professional review

A qualified security professional interprets evidence in context: asset criticality, operating model, residual risk and what is actually actionable for the organization. Findings, severity and priorities are reviewed before they are issued.

Automation supports judgment

Where AETHER OS or other automation is used, it accelerates collection, normalization, mapping and trend views. It does not autonomously declare compliance, close risk, or replace professional accountability for the engagement.

Every conclusion must be backed by verifiable technical evidence.