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    ISO/IEC 42001:2023 Information technology — Artificial intelligence — Management system

    • Standard name: ISO/IEC 42001:2023, Information technology — Artificial intelligence — Management system (Edition 1, published December 2023).
    • What it is: The world’s first AI management system standard. It specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).
    • Who it’s for: Any organisation (public, private, not-for-profit; any size) that develops, provides, or uses AI-based products or services.
    • What it’s designed to achieve: A structured, auditable way to govern AI—balancing innovation with governance—and managing AI-specific risks such as ethics, transparency, and continuous learning.
    • How it works (management system approach): Uses the familiar ISO management system structure (policy, leadership, planning, support, operations, performance evaluation, improvement) and a Plan–Do–Check–Act style cycle for continual improvement.
    • AI-specific focus areas commonly addressed: data quality, AI system impact assessment, and human oversight, plus governance practices across the AI lifecycle.
    • Australian context: Adopted in Australia as AS ISO/IEC 42001:2023 (identical adoption) and aligned to ISO’s harmonised structure to integrate with existing management systems.

    The prerequisites required by the Cyber Security Centre include an up to date (within 3 months) ISO 27001 certification or surveillance. This forms a foundation component for successful attestation.

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    What is ISO/IEC 42001?

    An international standard for establishing, implementing, maintaining, and continually improving a Privacy Information Management System (PIMS) in accordance with ISO/IEC 27701:2025.

    ISO/IEC 42001:2023 is the international standard for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS). It provides an auditable, risk-based framework for organization’s that develop, provide, or use AI-based products and services, enabling consistent governance across policy, leadership, planning, operations, performance evaluation, and continual improvement. As the world’s first AI management system standard, ISO/IEC 42001 helps organizations address AI-specific challenges—such as ethical considerations, transparency, and ongoing learning—while balancing innovation with appropriate oversight and accountability.

    How will organizations benefit from ISO 42001 Attestation?

    • Builds trust and assurance – demonstrates responsible AI governance to customers, stakeholders, and regulators.
    • Improves risk management – provides a structured method to identify, assess, treat, and monitor AI-related risks and impacts.
    • Supports compliance and readiness – strengthens governance practices that help meet emerging legal, regulatory, and contractual expectations.
    • Protects reputation – reduces the likelihood and impact of AI-related incidents, misuse, and adverse outcomes through controlled lifecycle management.
    • Enables scalable innovation – standardizes how AI is governed across teams, products, and suppliers, improving consistency and decision-making.

    Who ISO/IEC 42001 is for?

    ISO/IEC 42001 is applicable to organizations of all sizes and sectors and is relevant whether you are building AI systems, integrating third-party AI, or using AI to support business processes. It clarifies how to establish AI governance that is practical and repeatable, including AI-specific considerations such as data quality, impact assessment, and human oversight, and encourages governance across the AI lifecycle—from initial scoping and design through deployment, monitoring, review, and retirement.

    How Cyber Security Centre can help

    As a cyber security research organization, Cyber Security Centre provides evidence-based insight across a broad range of cyber and technology risk topics, including AI governance and assurance. Our professional staff hold postgraduate qualifications (Master’s level and above), with several undertaking PhD research, enabling us to deliver informed, practical guidance grounded in current research and industry practice