Visible AI Governance
Identify AI activities, stakeholder needs and the people accountable for decisions.
ISO 42001 AI management
Govern AI responsibly.
Make ownership clear.
Build trust into adoption.
Establish an AI Management System aligned with ISO/IEC 42001:2023. Cyber360 helps you scope AI use, assess risks and impacts, implement governance and prepare for independent certification where required.
Standards & assurance • Clear scope. Practical evidence.
Understand → Improve → Validate
From questions to decisions
Put an accountable system around AI.
AI adoption introduces decisions about data, suppliers, impacts and acceptable use. A management system connects those decisions to named owners, policies, evidence and continual improvement across the agreed AI lifecycle.
Risk and Impact in Context
Assess AI-related risks and impacts before selecting proportionate controls.
A Path to Assurance
Build management-system evidence and prepare for an independent certification assessment.
When it adds value
Focus effort where it can make a difference.
A New Assurance Requirement
Clarify the business objective, scope and evidence expected by stakeholders.
A Changing Environment
Review the impact of new services, technology, suppliers or operating practices.
Unclear Ownership
Connect decisions and controls with named owners and practical responsibilities.
Preparing for Improvement
Establish a baseline and prioritise actions around risk and delivery dependencies.
Service areas
A structured path to practical improvement.
These are examples for scoping, not an all-inclusive package. Technologies, delivery expertise, access requirements and outputs are confirmed before an engagement.
01
AIMS Scope & Gap Assessment
Where should AI governance apply?
- Example scope
- AI activities, organisational context, interested parties, roles and system boundaries.
- What we examine
- Existing governance and evidence against applicable ISO/IEC 42001 requirements.
- Evidence to take away
- An AIMS scope, gap assessment and implementation priorities.
02
AI Risk & Impact Assessment
What could AI change for people and the business?
- Example scope
- Agreed AI systems, uses, data, stakeholders and lifecycle decisions.
- What we examine
- Risk identification, impact assessment, treatment options and decision responsibilities.
- Evidence to take away
- Risk and impact methodologies, assessment records and treatment actions.
03
Governance & Policy
Who approves, oversees and escalates?
- Example scope
- AI policy, objectives, leadership responsibilities, acceptable use and supplier oversight.
- What we examine
- Authority, competence, transparency, escalation and integration with existing governance.
- Evidence to take away
- A tailored policy framework and responsibility model.
04
Lifecycle Controls
How are AI decisions managed in practice?
- Example scope
- Selected development, procurement, deployment, use and monitoring processes.
- What we examine
- Data management, documentation, human oversight and controls selected through risk treatment.
- Evidence to take away
- Control implementation guidance and lifecycle checkpoints.
05
Documentation & Performance
Can you demonstrate how the system operates?
- Example scope
- AI inventory, system documentation, performance measures and supporting evidence.
- What we examine
- Traceability, evidence ownership, monitoring, incidents and improvement decisions.
- Evidence to take away
- Documentation templates, evidence structure and a measurement plan.
06
Audit & Certification Readiness
Is the management system ready for review?
- Example scope
- Internal audit, management review, corrective actions and independent assessment preparation.
- What we examine
- Implementation evidence, unresolved gaps and readiness within the stated scope.
- Evidence to take away
- Readiness findings and an action plan for certification preparation.
How it works
A clear path from review to improvement.
- 01
Define the AIMS
Agree AI activities, business context, scope and governance objectives.
- 02
Assess Current Practice
Review existing processes, AI inventory and implementation gaps.
- 03
Evaluate Risks and Impacts
Document assessments and select proportionate treatments.
- 04
Implement Governance
Develop agreed policies, controls, records and competence arrangements.
- 05
Review Effectiveness
Support internal audit, management review and corrective actions.
- 06
Prepare and Improve
Organise certification evidence and sustain ongoing improvement.
What you receive
Clear enough to decide.
Detailed enough to act.
The reporting package is agreed around your audience and the decisions it needs to support.
Leadership & AI Owners
- AIMS scope and gap assessment.
- Governance policy, objectives and responsibilities.
- AI risk and impact assessment framework.
- A phased implementation and assurance roadmap.
Delivery & Assurance Teams
- AI inventory and system documentation templates.
- Control selection and implementation guidance.
- Monitoring and evidence-management structure.
- Internal review and certification-readiness actions.
Meaningful progress
Track the improvement.
Keep the evidence.
Agree what completion means for each action: an approved design decision, a reviewed configuration, a resolved finding or a demonstrated process. Record owners, dependencies, exceptions and the evidence available.
A closed task is not automatically a validated security outcome. Choose the follow-up review or test that answers the original question, and record what remains unverified.
Preparing the engagement
Start with the right context.
01
Scope & Objectives
- Identify services, systems and the assurance question driving the work.
- Share relevant obligations, stakeholder expectations and target dates.
02
Evidence & Context
- Provide existing policies, risk assessments, architecture and prior findings.
- Identify suppliers and dependencies relevant to the agreed scope.
03
People & Ownership
- Nominate business, technical, risk and operational contacts.
- Confirm decision authority and ownership of implementation actions.
04
Delivery & Follow-Up
- Agree work packages, access, constraints and acceptance criteria.
- Scope independent assurance, system changes and active testing explicitly.
Reference guidance: ISO: ISO/IEC 42001 explained. Relevant practices are selected for the agreed scope; independent assurance and implementation boundaries are confirmed during scoping.
Clear boundaries
Know what the work establishes.
The engagement applies to the agreed scope and evidence. Your organisation retains responsibility for decisions and control operation. Independent audits, certification or attestation, specialist legal advice, production changes and active testing are separately agreed; outcomes are not guaranteed.
ISO 27001
Build a practical information security management system.
Explore the service →Data Privacy & Protection
Connect governance with personal-data risk and operations.
Explore the service →Defensive Security
Review security architecture, controls and operational readiness.
Explore the service →Practical questions
Before we get started.
Is ISO 42001 a product certificate?
No. ISO/IEC 42001 is a management-system standard for organisations developing, providing or using AI. Certification concerns the defined AIMS scope, not a guarantee that every AI output is safe or correct.
Does Cyber360 issue the certification?
No. We support implementation and readiness. Certification is performed by an independent certification body; ISO itself does not certify organisations.
Does this establish AI-law compliance?
No. The management system can support governance, but applicable legal duties require their own assessment. Certification does not automatically establish compliance with an AI regulation.
Can this connect with ISO 27001?
Yes. Existing governance, risk and audit processes may be reused where appropriate, while addressing AI-specific requirements and impacts.
Take a closer look
The service overview,
ready to share.
Download the Cyber360 ISO 42001 AI Management brochure for the service scope, engagement approach, deliverables and preparation guidance.
PDF · 4 pages · 520 KB
Your next step
Who is accountable for AI across your organisation?
Tell us the decision you need to make. We’ll help define a useful scope.