New compliance guide available: ISO/IEC 42001:2023 on AWS

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We have released our latest compliance guide, ISO/IEC 42001:2023 on AWS, which provides practical guidance for organizations designing and operating an Artificial Intelligence Management System (AIMS) using AWS services.

As organizations deploy AI and generative AI workloads in the cloud, aligning with globally recognized standards such as ISO/IEC 42001:2023 becomes an important step toward strengthening AI governance, risk management, and responsible AI practices. This guide helps cloud architects, AI/ML engineers, security teams, compliance leaders, and DevOps practitioners understand how to implement and operate ISO 42001-aligned controls using AWS services while applying the AWS Shared Responsibility Model for AI.

The guide explains how organizations can integrate AWS services into their AIMS to support the requirements defined in ISO 42001:2023 clauses 4–10 and the Annex A control specific to AI systems. It also highlights how AWS AI services, security capabilities, monitoring, and automation can help customers maintain visibility over AI systems, improve operational consistency, and prepare audit-ready evidence.

While AWS provides a secure and compliant cloud infrastructure with built-in responsible AI capabilities, customers remain responsible for defining their AIMS scope, implementing controls, and demonstrating conformity during certification audits.

Inside the guide:

  • Overview of the ISO/IEC 42001:2023 framework, including understanding ISO 42001 and its Annexes, and how it relates to the broader ISO AI standards family
  • Guidance for integrating with AWS security architecture and applying the AWS Shared Responsibility Model for AI workloads
  • Context and scoping considerations for establishing an AIMS on AWS, including defining AI system boundaries within your environment
  • Mapping of ISO 42001:2023 clauses 4–10 to AWS services and architectural capabilities, covering organizational context, leadership, planning, support, operation, performance evaluation, and improvement
  • Implementation guidance for specific Annex A controls (A.2–A.10), including AI policies, internal organization, resources for AI systems, impact assessments, AI system life cycle management, data governance, transparency for interested parties, use of AI systems, and third-party and customer relationships
  • Recommendations for evidence collection, documentation, and audit readiness using AWS native tooling
  • Best practices for operationalizing AI compliance activities through automation and infrastructure-as-code

Use this guide to map ISO 42001 clauses and Annex A controls to your AWS environment, automate evidence collection, and reduce the effort involved in preparing for a certification audit.

Download: ISO/IEC 42001:2023 on AWS Compliance Guide

For further assistance, contact AWS Security Assurance Services

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Abdul Javid

Abdul Javid

Abdul is a Senior Security Assurance Consultant and a PECB ISO 42001 Lead Auditor, IAPP Certified AI Governance Professional and ISACA Advanced in AI Security Management. He draws on his extensive experience of over 25 years to guide AWS customers on compliance matters. He holds an M.S. in Computer Science from IIT Chicago and numerous certifications from IAPP, AWS, ISO, HITRUST, ISACA, CMMC, PMI, PCI DSS, and ISC2.

Satish Uppalapati

Satish is an Associate Assurance Consultant with AWS Security Assurance Services and has more than 8 years of experience in IT risk, governance, and regulatory assurance. He works with AWS customers to help align cloud environments with frameworks such as ISO 27001, SOC 2, and FFIEC. Satish also focuses on advancing governance for AI systems, including emerging standards such as ISO/IEC 42001.

Amber Welch

Amber Welch

Amber is an AWS Security Assurance Services Senior Privacy Consultant, advising AWS customers on their AI and privacy risk management and compliance. She has an M.A. in English and ISO 42001 Lead Auditor, IAPP CIPM, and IAPP CIPP/E certifications. Amber has spoken and written extensively on AI and privacy topics, and is an AWS Privacy Reference Architecture primary author.

Jonathan-Jenkyn

Jonathan Jenkyn

Jonathan (“JJ”) is a Sr Security Assurance Solution Architect with AWS Security Assurance Services. With over 30 years of experience, he is a proven security leader who delivers robust cloud security outcomes. JJ is also an active member of the AWS People with Disabilities affinity group and enjoys running, cycling, and spending time with his family.

Muhammad Sharief

Muhammad Sharief

Muhammad is a Security Assurance Consultant with AWS Security Assurance Services (SAS) and a PECB-certified ISO/IEC 42001 Lead Auditor. He helps enterprise customers across AWS GovCloud (US) and commercial environments achieve and maintain compliance with FedRAMP, CMMC, ISO 27001, ISO 42001, and NIST 800-53. Muhammad works closely with customers, partners, and AWS service teams to design automated evidence collection architectures, advance AI governance, and align cloud security and compliance requirements with business objectives.

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