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ISO 42001:2024 is an international standard that specifies the requirements for establishing, implementing, maintaining, and continually improving an AI management system (AIMS) within an organization.
Below you'll find all of the requirements of this framework. In Cyberday, we map all requirement to global tasks, making multi-compliance management easy. Do it once, and see the progress across all frameworks!
To ensure the long-term operational integrity of any artificial intelligence system, the organization must formalize and record all critical support elements. This requires documenting the established protocols and designated accountabilities for essential lifecycle management tasks. Such documentation must, at a minimum, encompass procedures for performance oversight, corrective maintenance activities, system upgrades, and the provision of continuous operational assistance to guarantee sustained functionality.




The organization is mandated to formally articulate and document a complete set of specifications prior to the deployment of any new artificial intelligence system. This same requirement applies when implementing substantial modifications to an existing AI framework. The resulting documentation must comprehensively define all functional, security, and operational criteria, thereby establishing an authoritative baseline for the system's development and lifecycle management.




The organization is obligated to maintain comprehensive records detailing the outcomes of all AI system impact assessments. These evaluations must be executed in strict accordance with the formal procedure defined in section 6.1.4. Assessments are to be initiated under two primary circumstances: at regularly scheduled intervals and in response to any significant modifications, whether proposed or already implemented. This ensures that a formal review of system impact is conducted proactively and whenever material changes occur. All results must be preserved as documented information for audit and review purposes.








The organization's top management is charged with demonstrating definitive commitment and assuming accountability for the AI management system. This is achieved by ensuring AI policy is congruent with strategic objectives and integrating its requirements into core business functions. Leadership must guarantee the provision of necessary resources, champion the importance of effective AI management, and confirm the system achieves its intended outcomes. They are further responsible for directing personnel, fostering a culture of continual improvement, and empowering other managers to lead within their respective domains.








For the effective governance of an AI management system, the organization is required to conduct a thorough analysis of its internal and external context, including stakeholder expectations, to identify pertinent risks and opportunities. This analysis underpins the establishment of formal AI risk criteria, which must provide a clear basis for distinguishing between acceptable and unacceptable risk levels. A documented action plan is mandatory for addressing all identified risks and opportunities. This plan must detail the integration of these actions into system processes and include methods for evaluating their effectiveness, ensuring the system achieves its goals, prevents harm, and improves over time. All related activities must be retained as documented information.




The organization shall formulate and maintain a documented communication strategy. This strategy must detail the established process for alerting users about incidents that impact the AI system, ensuring all notifications are handled in a clear and timely manner.








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Read the articleWhen building an ISMS, it's important to understand the different levels of information hierarchy. Here's how Cyberday is structured.
Sets the overall compliance standard or regulation your organization needs to follow.
Break down the framework into specific obligations that must be met.
Concrete actions and activities your team carries out to satisfy each requirement.
Documented rules and practices that are created and maintained as a result of completing tasks.
