ISO 42001 Certification & AI Management System Consulting

The world’s first international standard for Artificial Intelligence Management Systems (AIMS)

Enterprise buyers and regulators now expect proof that your AI systems are governed responsibly. ISO/IEC 42001:2023 gives you a certifiable framework to demonstrate exactly that.

SecurifyAI helps SaaS, fintech, and healthtech companies design, implement, and certify an Artificial Intelligence Management System that meets ISO 42001 requirements so you can close enterprise deals faster and operate AI with confidence.

Free Security Assessment

What is ISO 42001?

ISO/IEC 42001:2023 is the first international management system standard specifically created for artificial intelligence. Published in December 2023 by ISO and IEC, it specifies the requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).

Unlike technical AI standards that focus on individual models, ISO 42001 is organization-level. It applies to any company that develops, provides, or uses AI systems regardless of size or industry.

The standard follows the same high-level structure (Annex SL) used by ISO 27001 and ISO 9001, making it straightforward to integrate with existing compliance programs.

Why ISO 42001 Matters Now

Enterprise procurement teams increasingly ask for AI governance evidence in security questionnaires and RFPs.
It provides structured readiness for the EU AI Act and other emerging AI regulations. ISO 42001 and the EU AI Act are complementary, not interchangeable.
ISO/IEC 42001 provides an organization-level framework for managing AI risks and governance. Certification does not by itself establish compliance with the EU AI Act or replace any applicable AI Act conformity assessment, technical documentation, or other regulatory obligations.
Certification creates a clear competitive differentiator as “responsible AI” becomes a buying criterion.
It addresses AI governance considerations that are not the primary focus of information-security frameworks, including AI system impacts, transparency, data quality, human oversight, AI lifecycle management, and responsible use.

Key Requirements of ISO 42001

ISO 42001 is organized into Clauses 4–10 (the management system requirements) plus Annex A (38 AI-specific reference controls).

Core Management System Requirements (Clauses 4–10)

4) Context of the organization

Define scope, internal/external issues, interested parties, and your role (developer, provider, or user of AI)

5) Leadership

Top management commitment, AI policy, and clear roles & responsibilities for AI governance

6) Planning

AI risk assessment and treatment, AI objectives, and AI system impact assessment

7) Support

Resources, competence, awareness, communication, and documented information

8) Operation

Operation of AI risk treatment processes, AI system lifecycle processes, supplier management, and operational controls

9) Performance evaluation

Monitoring, internal audit, and management review

10) Improvement

Nonconformity handling and continual improvement

Annex A Controls

Annex A contains 38 reference controls organized into nine control objectives covering AI policies, organizational responsibilities, resources, impact assessment, AI system lifecycle management, data, transparency and information, AI system use, and third-party/customer relationships.

Unlike Clauses 4–10, Annex A is a reference set of controls. Organizations determine applicability based on their risk assessment, impact assessment, and AIMS scope and document those decisions in a Statement of Applicability.

AI policies and responsible use

Internal organization and accountability

Resources for AI systems

AI system impact assessment

AI system lifecycle controls

Data for AI systems

Human oversight

Third-party and supplier management

Transparency and information for interested parties

Annexes B, C, and D

ISO/IEC 42001 also includes supporting annexes that help organizations implement the AIMS. Annex B provides implementation guidance for Annex A controls, Annex C provides examples of AI-related objectives and risk sources, and Annex D provides guidance for applying an AIMS across different domains and sectors.

ISO 42001 vs ISO 27001: Do You Need Both?

ISO 42001

Responsible governance of AI systems

Is our AI governed responsibly?

Bias, model drift, lack of explainability, societal impact, loss of human oversight

38 AI-specific controls

AI-related risks and impacts on individuals, groups, and society

ISO 27001

Information security (confidentiality, integrity, availability)

Is our information protected?

Breaches, unauthorized access, data loss

93 information security controls

Information security risks

Bottom line: ISO 27001 focuses on managing information security risks across your organization, while ISO 42001 focuses on establishing and operating an AI Management System for the responsible development, provision, and use of AI. Organizations can integrate both frameworks to address information security and AI governance within a common management-system structure.

Benefits of ISO 42001 Certification

ISO 42001 is organized into Clauses 4–10 (the management system requirements) plus Annex A (38 AI-specific reference controls).

Core Management System Requirements (Clauses 4–10)

Unlock enterprise revenue

Meet AI governance requirements in RFPs and security reviews with a single recognized certificate.

Shorten sales cycles

Replace lengthy custom answers with third-party validated proof.

Regulatory readiness

Build the governance structures expected under the EU AI Act and emerging AI laws.

Reduce AI-specific risk

Systematically address bias, transparency, data quality, and lifecycle issues.

Competitive differentiation

Position your company as a responsible AI provider in a market where trust is becoming a deciding factor.

Integrate with existing programs

Leverage work already done for SOC 2 or ISO 27001.

How SecurifyAI Helps You Achieve ISO 42001

We treat ISO 42001 the same way we treat SOC 2 and ISO 27001 as a practical, execution-focused program, not just documentation.

Our Approach

Step 1

Gap Assessment & Scoping

Map your current AI systems, roles (developer / provider / user), and existing controls against ISO 42001 requirements.

Step 2

AIMS Design & Implementation

Build the AI policy, risk and impact assessment processes, lifecycle controls, human oversight mechanisms, and Statement of Applicability.

Step 3

Technical & Operational Controls

Implement practical controls for data quality, model monitoring, supplier management, and transparency.

Step 4

Evidence Collection & Internal Audit

Establish monitoring, documentation, and internal audit processes so the system is operating before the external audit.

Step 5

Certification Support

Coordinate with accredited certification bodies through Stage 1 and Stage 2 audits and support ongoing surveillance.

Because many of our clients already run SOC 2 or ISO 27001 programs, we focus on the delta the AI-specific requirements so you avoid rebuilding what already works.

Who Should Pursue ISO 42001?

ISO 42001 is relevant if your organization:

Develops or sells AI-powered products or features
Uses AI systems that influence decisions about people (hiring, credit, healthcare, insurance, etc.)
Faces enterprise customers asking about AI governance
Operates in regulated sectors or sells into the EU
Wants a structured foundation for responsible AI as you scale

Typical Timeline & What to Expect

Most organizations reach certification in 4–12 months, depending on:

Existing management systems (ISO 27001 or SOC 2 significantly shortens the timeline)
Number and complexity of AI systems in scope
Current maturity of AI governance practices

The process follows the standard two-stage audit model used for other ISO management systems, followed by annual surveillance audits over a three-year certification cycle.