ISO/IEC 42001 — AI Management System

Get Your Organization ISO 42001-Ready

ISO/IEC 42001 is the first certifiable standard for managing artificial intelligence. CATAAM scaffolds the entire AI Management System — govern your AI estate, validate every Annex A control, and reach audit-ready, all in one platform.

Annex A AI Controls
38
Management Clauses
4–10
To Audit-Ready
Weeks
Frameworks Cross-Mapped
6+

From Enrolment to Audit-Ready

A detailed walkthrough of preparing for ISO 42001 inside CATAAM — preparations, tests, policies, documents and your Trust Center.

Full ISO 42001 Annex A Coverage

Every AI-management control objective — from AI policy and impact assessment through the AI system life cycle, data governance and third-party relationships — mapped and evidenced.

A.2

AI Policy

Establish and maintain a documented AI policy aligned to your objectives and risk appetite — inherited and version-controlled in CATAAM.

A.3

Internal Organization

Define AI roles, responsibilities and reporting lines, including accountable ownership for each AI system.

A.4

Resources for AI Systems

Document the data, tooling, compute and human resources your AI systems depend on, and keep the inventory current.

A.5

AI Impact Assessment

Assess impacts of AI systems on individuals, groups and society — generated from your posture and tracked over time.

A.6

AI System Life Cycle

Govern responsible development across the life cycle — design, verification, deployment and decommissioning — with model cards.

A.7

Data for AI Systems

Control data acquisition, quality, provenance and lawful basis. CATAAM continuously monitors AI data lineage.

A.8

Information for Interested Parties

Provide clear information to users and affected parties about your AI systems, their purpose and their limitations.

A.9

Use of AI Systems

Set responsible-use guardrails and access controls; CATAAM verifies model inference access is controlled and reviewed.

A.10

Third-Party Relationships

Manage suppliers and customers in the AI value chain — allocate responsibilities and assess third-party AI risk.

From Scope to Statement of Applicability

CATAAM automates the most time-consuming parts of ISO 42001 — AI discovery, evidence, monitoring and the SoA.

01

Enrol & scaffold the AIMS

Enrol in ISO/IEC 42001 and CATAAM scaffolds the full AI Management System — clauses 4–10, every Annex A control and a library of AI policies — inherited automatically.

02

Govern your AI estate

Connect a cloud vendor and CATAAM discovers your real AI workloads — cognitive services, ML and vector stores — into a governed inventory with a risk tier and model card each.

03

Inherit policies & generate documents

Ten AI policies plus the AIMS documents — scope statement, impact assessment, risk register and model cards — are inherited or generated from your posture and adopted in a click.

04

Validate, monitor & export the SoA

Every control is validated by a native test with continuous AI control monitoring. Generate the Statement of Applicability and share a tokenized, read-only auditor portal.

Why CATAAM is different

The Only Platform That Governs AND Attack-Tests Your AI

Competitors stop at a documentation checklist. CATAAM pairs your AI Management System with real offensive security — breach & attack simulation against your AI workloads and continuous control monitoring — so you prove your AI governance actually holds.

  • AI workloads auto-discovered from AWS, Azure and GCP and governed with risk tiers and model cards
  • Continuous AI control monitoring — data lineage, model fairness/bias and inference access
  • Breach & attack simulation probes your AI systems, not just your network
  • Evidence cross-mapped with SOC 2 and ISO 27001 — implement once, satisfy every framework
# ISO 42001 continuous control monitoring — live
MONITOR AI data lineage & lawful basis → A.7
MONITOR Model fairness / bias within threshold → A.5
PASS Model inference access controlled → A.9
BAS Prompt-injection probe → AI workload
RISK Unreviewed model card → A.6 (high-risk)
SoA generated — 54 / 55 controls applicable
AI governance readiness: 98% →

ISO 42001 Frequently Asked Questions

What is ISO 42001 and who needs it?
ISO/IEC 42001:2023 is the world's first certifiable standard for an AI Management System (AIMS). It specifies requirements for governing the development and use of AI responsibly. Any organization that builds, deploys or relies on AI — and wants to prove trustworthy, well-governed AI to customers, regulators and partners — benefits from certification.
How is ISO 42001 different from ISO 27001?
ISO 27001 manages information security; ISO 42001 manages artificial intelligence specifically — covering AI impact assessments, the AI system life cycle, data governance for AI, transparency to affected parties and responsible-use controls. They share the same Annex SL management-system structure, so evidence and controls cross-map cleanly in CATAAM.
What is an AI Management System (AIMS)?
An AIMS is the set of policies, processes, roles and controls an organization uses to govern AI across its life cycle. ISO 42001 defines its requirements in clauses 4–10 and a set of Annex A controls. CATAAM scaffolds the entire AIMS — policies, documents, risk register, model cards and tests — from your live posture.
How does CATAAM automate ISO 42001?
CATAAM discovers your AI systems, builds a governed inventory, inherits ten AI policies and generates AIMS documents, validates every Annex A control with native tests, and runs continuous AI control monitoring. It then produces a Statement of Applicability and a read-only auditor portal — turning a manual, document-heavy effort into a continuous, evidence-backed program.
Can I run ISO 42001 alongside SOC 2 or ISO 27001?
Yes. Cross-framework control mapping is core to CATAAM — a single piece of evidence can satisfy ISO 42001, SOC 2 and ISO 27001 at once. Organizations running AI governance next to their existing compliance program reuse most of their evidence and add only the AI-specific controls.

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