ISO/IEC 42001:2023 AI Management System (AIMS)
Clauses 4–10, 38 Annex A controls, and Stage-1 accredited registrar blocker detection.
How does your enterprise maintain an inventory of active AI systems and enforce an AI Acceptable Use Policy?
Auditor Focus: Auditors verify whether shadow AI is prohibited and if all production models, internal prototypes, and third-party AI SaaS tools are registered in a centralized inventory.
Decentralized / Shadow AI
Individual departments procure and use AI tools and APIs independently. There is no central asset inventory or formal usage policy.
Static Inventory & Draft Guidelines
A shared spreadsheet lists known AI systems, and a draft acceptable use policy has been circulated but not formally ratified by leadership.
Governed Registry & Board Policy
A centralized, regularly updated AI registry is maintained. A comprehensive AI Policy is ratified by the board and communicated to all staff.
Continuous Automated Substrate Auditing
Real-time discovery of AI endpoint invocations, model deployments, and API tokens with automated policy enforcement and immutable logging.
The Tangible Deliverable
Flip through 6 sample folios from our commissioned 92-page forensic study, or download the sample PDF.

ISO/IEC 42001:2023 Stage-1 & Stage-2 Registrar Certification Dossier

Pursuant to our ISO/IEC 42001:2023 readiness mandate, Logic42 Sovereign Engineering Practice has audited your Artificial Intelligence Management System (AIMS) across Clauses 4 through 10 and all 38 normative controls in Annex A (A.2 through A.10).
ISO 42001 Assessment, AI Testing Verification & Normative Evidence Matrix
Inspect Normative Clause & Blocker Matrix (4 Vectors)
ISO/IEC 42001:2023 is the certifiable international standard for Artificial Intelligence Management Systems (AIMS). Passing an ISO 42001 assessment and continuous AI testing audit across Stage 1 and Stage 2 requires mapping organizational AI policies (Clauses 4–10) and 38 Annex A controls to deterministic runtime telemetry, adversarial AI testing harnesses, tamper-proof prompt ledgers, and algorithmic kill-switches.
Blocker: Lack of board-ratified AI charter and designated Responsible AI Officer
Remedy: Ratify sovereign AIMS charter with explicit model risk thresholds
Blocker: Deploying LLM or agentic workflows without pre-deployment harm assessment
Remedy: Enforce mandatory AI-SIA gating in CI/CD before production promotion
Blocker: No automated red-team AI testing harness, immutable prompt ledger, or circuit breaker
Remedy: Deploy continuous AI testing gates and SHA-256 model gateway proxy with sub-10ms PII redaction
Blocker: Unvetted commercial LLM APIs lacking Zero-Data-Retention (ZDR) addenda
Remedy: Enforce contractual ZDR enclaves and cryptographic RAG vector lineage



