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ISO/IEC 42001 ARTIFICIAL INTELLIGENCE Management System
CyberZone Global provides end-to-end ISO/IEC 42001 consulting services to support organisations at every stage of their AI governance journey - from initial alignment and readiness through to compliance and certification preparation.
Our services include:
- Gap assessments
- AI system inventories and classification
- AI risk and impact assessments
- AI risk treatment planning
- AI Management System policies, procedures and documentation
- Responsible AI governance frameworks
- Internal audits
- Staff awareness and role-based training
- Pre-certification readiness assessments
- Ongoing compliance and continual improvement support
We tailor our approach to your organisation’s size, AI use cases, risk profile, regulatory obligations and business objectives.
Our goal is to help you establish a practical and sustainable Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001 and responsible AI practices.
Achieving ISO/IEC 42001 certification demonstrates a structured commitment to the responsible development, provision and use of AI systems. It can strengthen stakeholder confidence, support governance and regulatory obligations, and build trust with customers, partners and regulators.
ISO/IEC 42001 - Requirements
ISO/IEC 42001 is the internationally recognised management system standard for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System.
It provides a structured, risk-based framework that helps organisations govern AI responsibly throughout its lifecycle.
The standard supports the effective management of issues such as transparency, accountability, fairness, safety, security, privacy, data quality and human oversight.
The standard addresses seven core areas:
- Context of the organisation - understanding the organisation, its AI-related activities, operating environment and stakeholder expectations.
- Leadership - establishing management commitment, accountability, policies and responsibilities for responsible AI.
- Planning - identifying AI-related risks and opportunities, establishing objectives and planning appropriate actions.
- Support - providing the resources, competence, awareness, communication and documented information required for the AIMS.
- Operation - implementing processes for AI risk assessment, risk treatment, impact assessment and responsible AI lifecycle management.
- Performance evaluation - monitoring, measuring and reviewing the effectiveness of the AIMS through internal audits and management reviews.
- Improvement - addressing nonconformities, implementing corrective actions and continually improving AI governance and performance.
ISO/IEC 42001 - Annex A
Annex A provides a reference set of 38 controls designed to help organisations manage AI-related risks and achieve their responsible AI objectives.
The controls cover areas including:
- AI policies
- Internal organisation and accountability
- Resources for AI systems
- AI system impact assessments
- AI system lifecycle management
- Data management
- Information for interested parties
- Responsible use of AI systems
- Third-party and customer relationships
Not every control must be implemented in the same way by every organisation. Controls are selected according to the organisation’s role as an AI provider, producer, developer or user, as well as its AI risks, impacts, legal obligations and business needs.
The selected controls and the justification for including or excluding them - are documented in the organisation’s Statement of Applicability.
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