Security of AIGovernance & Evidence

You're shipping AI.With no management system.

Scores your AI governance against ISO/IEC 42001, grounded in real evidence, with a readiness percentage and observations on every gap. Extends to NIST AI RMF and the EU AI Act.

Why It's Hard

AI Governance Runs Ahead Of Its Standards

The obligations arrive faster than the evidence. Boards want assurance now, certification bodies want it in the standard's own language, and neither reads the same dashboard.

No Management System Behind The AI

  • AI shipped without a documented AIMS
  • Impact assessments happen after the fact
  • Model lifecycle triggers are unwritten
  • No inventory of AI systems and their owners

Evidence Lives Everywhere Except The Registry

  • Cloud registries hold model state
  • IAM holds identity and access data
  • Drift metrics live in ML platforms
  • No pipeline joining any of it

Multiple Standards, One Program

  • ISO 42001, NIST AI RMF, EU AI Act overlap
  • Each asks for the same evidence differently
  • Certification bodies want the standard's language
  • Boards want a number they can act on

Your AIMS Owner's Time Is Expensive

Building an AI management system by hand is a job that predates the standards. Agent workflows keep the evidence collected, the controls scored, and the readiness percentage current so governance operates as a program rather than an annual scramble.

The Coverage

What the assessment scores.

ISO 42001, All 65 Controls

Clauses 4-10 for the AI management system itself, plus the 38 Annex A reference controls (A.2 through A.10), scored as a single AIMS conformity assessment with a colour-banded readiness percentage.

See it work

Assessor-Grade Observations

Every control opens to the observations behind its verdict, a severity, and a named remediation, 'ad hoc for 1 of 5 systems, no lifecycle triggers, nothing retained' rather than 'needs improvement'.

Impact-Assessment Spine

The assessment knows impact assessment (6.1.4, A.5) is the control ISO 42001 hangs responsible-AI on, and cascades a missing process into every control that depends on it.

NIST AI RMF & EU AI Act

Cross-framework mapping so a single evidence pipeline scores your AIMS against ISO 42001 today and extends into NIST AI RMF and the EU AI Act as they come into scope, one collection, multiple assessments.

How It Works

Collect, score, explain, request.

01

Collect

Evidence is pulled from cloud and AI-platform sources, the model registry, IAM, drift metrics, the data catalog, into a raw evidence store.

02

Score

Every control across clauses 4-10 and Annex A is scored against what the evidence actually shows, producing an overall readiness percentage with a verdict summary of In Place, Partial and Not In Place.

03

Explain

Each control carries assessor-grade observations, a severity and a named remediation, and the auditor chat reasons over the whole assessment on demand.

04

Request

Controls with no evidence become one-click requests to the customer, so the assessment drives the next round of collection instead of stalling on a spreadsheet of outstanding asks.

What The Programme Produces

Assurance the auditor accepts.

Grounded verdicts, prioritised blockers, and the artifacts a Stage 1 review actually consumes.

Grounded In Raw Evidence

Verdicts cite real evidence collected from cloud and AI-platform sources, so a control is judged against what the evidence shows, 'drift metrics missing on 3 of 5 models', not on whether a document was uploaded.

Applicability Scoping

A scoping questionnaire marks controls Not Applicable by your role, provider, developer, deployer or user, so you are not scored against controls that do not apply to you.

Prioritised Blockers

The blockers that actually stop a Stage 1 review, impact assessment, internal audit, the SoA, are surfaced ahead of the noise.

VAPT-Styled Readiness Report

The assessment exports to a formatted readiness and gap report and to CSV and JSON, ready for the board and the certification body.

Not Another Checklist.Evidence You Can Point At.

Boards and certification bodies both want assurance. This one produces both, a readiness percentage a board can act on, and a control-by-control record a certification body can review.

See it work

Business Outcomes

What the governance loop changes.

Grounded

Verdicts from real evidence, not uploaded documents.

Specific

Every gap carries an observation and a fix.

Prioritised

Stage 1 blockers surfaced ahead of the noise.

Know your ISO 42001 readiness in a number.

Score your AI management system against all 65 controls, grounded in evidence, with every gap carrying its fix and a path into NIST AI RMF and the EU AI Act.