The world's first international standard for AI Management Systems (AIMS). Establish a systematic approach to developing, deploying, and maintaining trustworthy AI systems.
ISO/IEC 42001:2023 is the first international standard that specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations.
Published in December 2023 by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC), this standard provides a structured framework for organizations that develop, provide, or use AI systems to manage AI-related risks responsibly.
The standard follows the harmonized structure common to other ISO management system standards (like ISO 27001 and ISO 9001), making it easier to integrate into existing management systems while addressing the unique challenges posed by AI technologies.
Position your organization ahead of emerging AI regulations including the EU AI Act, which references ISO standards for compliance demonstration.
Enterprise buyers increasingly require AI vendors to demonstrate governance maturity. ISO 42001 provides recognized proof of responsible AI practices.
Systematically identify, assess, and mitigate AI-specific risks including bias, security vulnerabilities, and unintended system behaviors.
Early adoption differentiates your organization as a leader in responsible AI, opening doors to security-conscious customers and partners.
First international standard specifically designed for AI management systems
Addresses unique AI risks: bias, explainability, autonomy, and evolving behavior
Covers the entire AI lifecycle from conception to decommissioning
Layers cleanly on top of ISO 27001 and other management system standards
Provides framework for responsible AI development and deployment
Enables organizations to demonstrate AI governance to stakeholders
ISO 42001 establishes comprehensive requirements across the AI system lifecycle
Establish documented AI management policies aligned with organizational strategy and stakeholder needs.
Systematic identification, analysis, and evaluation of AI-specific risks throughout the system lifecycle.
Controlled processes for design, development, and deployment of AI systems with quality assurance.
Governance of training data, including quality, bias assessment, and provenance documentation.
Mechanisms for human intervention, monitoring, and control over AI system decisions.
Continuous evaluation of AI system performance, drift detection, and effectiveness measurement.
Comprehensive evaluation of your current AI practices against ISO 42001 requirements, identifying gaps and prioritizing remediation efforts.
Expert guidance on developing policies, procedures, and controls that meet ISO 42001 requirements while fitting your organization's context.
Pre-audit assessments and remediation support to ensure you're fully prepared for third-party certification audits.
ISO 42001 stacks on top of your existing ISO 27001, SOC 2, or other compliance programs to maximize efficiency.
Let's assess your AI management practices and create a roadmap to certification.