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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!
The organization is responsible for carrying out the AI risk mitigation strategy detailed in section 6.1.3 and must subsequently validate the effectiveness of all implemented controls. Risk treatment is required to be an ongoing, adaptive process. In instances where new threats emerge or existing countermeasures are determined to be inadequate, the organization must formally re-engage the risk treatment methodology to re-evaluate and update its mitigation plan. A complete record of all actions and outcomes related to AI risk treatment activities must be maintained as documented information.




To govern the creation and refinement of artificial intelligence systems, the organization must establish a formal data management framework. This framework necessitates the development, formal documentation, and operational implementation of a complete set of procedures. These processes must be specifically engineered to control and manage data throughout the entire AI development and enhancement lifecycle.




The organization is required to manage all alterations to its AI management system through a deliberate and organized approach. A formal change management methodology must be applied whenever modifications are deemed necessary. This ensures that the implementation is carefully controlled, facilitating a seamless transition while actively mitigating the risk of adverse or unforeseen consequences to system operations.








An organization must formally document the scope of its AI management system, specifying its precise boundaries and areas of application. This definition shall be directly informed by an analysis of the organization's internal and external context, alongside the requirements of interested parties. The documented scope establishes the authoritative framework that governs all system-related functions, including leadership, planning, operations, performance evaluation, and improvement activities as stipulated within this standard.












The organization shall implement a structured and accessible procedure for stakeholders to communicate concerns. This formal channel must enable affected parties to report any detrimental effects or negative consequences they encounter that are attributable to the artificial intelligence system's performance or outcomes.




The organization shall maintain a documented inventory of all data assets that are integral to the functioning of its artificial intelligence systems. This requirement, which forms a critical part of the overall resource management strategy, mandates the formal recording of every dataset and information source used for training, testing, and operational deployment of AI applications.




The organization is obligated to establish and sustain a comprehensive audit framework that dictates audit frequency, methods, responsibilities, and reporting. Program design must account for process criticality and the outcomes of prior audits. For each engagement, specific objectives and scope are to be defined. Auditors must be selected in an objective and impartial manner to ensure the integrity of the process, with findings reported to relevant leadership. All records demonstrating the program's execution and the audit results must be formally retained.








To satisfy its requirements and implement actions from Clause 6, the organization must maintain oversight of its operational processes. This includes implementing and monitoring all controls identified through risk treatment, especially those governing the AI system lifecycle, and taking corrective action when necessary. The organization must also systematically manage change, mitigating the consequences of both planned and unintended modifications. Furthermore, control must extend to all relevant externally provided services or products. Sufficient documentation is required to provide assurance that processes have been executed as intended.




To ensure the ethical and accountable application of artificial intelligence technologies, the organization is mandated to formally establish and document its strategic aims. These documented objectives must provide a clear governance framework, directing the development and deployment of all AI systems in a manner consistent with responsible operational principles.




The organization is required to maintain a formal inventory of all technological assets that support its artificial intelligence systems. This documentation must comprehensively detail the specific hardware and infrastructure components upon which AI operations depend, ensuring it is integrated within the broader asset management framework.




It is incumbent upon the organization to define the complete set of information necessary for the users of its artificial intelligence systems. Furthermore, the organization must implement mechanisms to ensure this information is conveyed to all relevant user groups in a readily accessible format.








The organization shall maintain a formal record that identifies all assets required for its artificial intelligence operations. This inventory must comprehensively cover every stage of the AI system's lifecycle, ensuring that resource allocation is documented from initial design and development through to deployment and eventual retirement.




The organization is mandated to establish and uphold a formal governance framework for its artificial intelligence systems. This framework must encompass documented procedures for the secure and ethical engineering of AI throughout its entire lifecycle. These processes are to be formally recorded and consistently updated to ensure accountability and responsible innovation in all AI-related design and development activities.
















An organization is required to formally define and maintain written records of its specific duties for communicating information regarding its artificial intelligence system. These reporting obligations must be explicitly documented, detailing the requirements for disclosure to all pertinent stakeholders.








To establish unambiguous accountability across the entire AI system life cycle, the organization is required to create a formal framework of governance. This framework must involve the explicit delineation and documentation of duties for all internal and external stakeholders. Clear lines of responsibility must be defined for the organization itself, in addition to its suppliers, partners, customers, and any other third-party entities involved, ensuring there is no ambiguity regarding ownership of specific functions.








The organization is obligated to produce a formal record detailing the conclusions of each AI system impact assessment. These documented outcomes must be securely retained for a pre-established and clearly specified duration to support ongoing governance and audit activities.




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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.
