Know what needs governing
Bring AI use cases, data flows and supplier dependencies into view, so important decisions start with a shared understanding.
Build a clear path to ISO 42001 certification with governance that supports the security of your AI systems and data.
2-sec helps you turn AI policies into practical responsibilities, risk controls and audit evidence—so your organisation can move forward with confidence.
For organisations developing, deploying or using AI.
When AI adoption spreads across teams, responsibility can become fragmented. Give people a consistent way to decide what is acceptable, manage the risks and show that oversight is working.
Bring AI use cases, data flows and supplier dependencies into view, so important decisions start with a shared understanding.
Clarify who approves AI use, who manages risks and who steps in when a system or its purpose changes.
Build a record of decisions, reviews and corrective actions that supports scrutiny from leadership, customers and auditors.
ISO/IEC 42001 is the international standard for an AI management system. It sets requirements for governing how an organisation develops, provides or uses AI, including ongoing review and improvement.
Defines which AI activities the management system covers, with policies, objectives and responsibilities suited to how the organisation develops, provides or uses AI.
Provides a structured way to assess AI risks and select appropriate controls, taking account of the systems, data, people and decisions involved.
Connects governance commitments to records of decisions, controls and reviews, helping demonstrate how the AI management system operates within its defined scope.
Uses monitoring, internal audits and management review to identify weaknesses, address findings and improve the management system as AI use and risks change.
Start with your current position. Shape the engagement around your AI footprint, existing management systems and certification objectives.
Establish the intended management-system scope, map your AI use and assess the gaps between current practice and certification requirements.
Assess risks and potential impacts on people and the organisation. Connect governance decisions with data handling, security and human oversight.
Define responsibilities, acceptable use, approval routes and escalation processes that teams can apply in their everyday work.
Translate agreed priorities into procedures for AI suppliers, system changes, monitoring and record keeping, with evidence of implementation.
Support internal audit preparation, management review and corrective actions so outstanding issues are visible before certification assessment.
Establish a review rhythm for changes in AI use, suppliers and risk, helping the management system remain useful as your organisation evolves.
Scope, deliverables and responsibilities are agreed for your engagement. Independent certification assessment is separate.
Progress from an initial assessment to evidence of working governance, with a clear purpose for each stage.
Discuss your AI use, business priorities, existing governance and any customer or certification deadlines.
Define scope, ownership and the work needed to close the gaps, with priorities matched to risk and capacity.
Put the agreed processes into use and capture the records that demonstrate how they operate.
Check effectiveness, address findings and prepare for independent certification assessment.
AI governance has practical consequences: which tools people can use, what information they can share, how suppliers are assessed and when human intervention is needed.
Position ISO 42001 within your wider security programme. Where a governance review identifies a need for technical assurance, agree the relevant testing or security work alongside the management-system engagement.
Understand what certification covers and how an engagement can fit your organisation.
Certification concerns the AI management system within its defined scope. It does not certify every AI product as secure or remove the need for technical testing, monitoring and appropriate security controls.
Yes. The standard is relevant to organisations using AI as well as those developing or providing it. The starting point is the AI activity within your intended scope.
Existing governance, risk and review processes can provide a useful starting point. The gap assessment establishes what can be reused and where AI-specific responsibilities and practices need to be added.
This depends on your scope, AI use, existing processes and internal capacity. An initial discussion helps define the work before a timetable and proposal are agreed.
This service focuses on governance implementation and certification readiness. An independent certification body makes the certification decision following its assessment.
Whether you are building your first AI policy or preparing for an audit, start with a conversation about your current position and what you want to achieve.
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