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Management system standard

ISO/IEC 42001

How institutions can translate AI management-system requirements into accountable AI inventory, controls, evidence and continuous operating discipline.

Standard & FrameworkOperational interpretationReviewed August 2026
Executive questions

What the institution needs to be able to answer.

  1. 01Do we know the AI systems within the management-system scope?
  2. 02Are AI responsibilities and decision authorities explicit?
  3. 03Can we show how risks, controls and evidence are connected?
  4. 04Can management review AI performance and corrective actions using reliable records?
Operating model

Turn the requirement into institutional workflow.

01

Define the AI estate

Create a governed scope of AI systems, services, suppliers and material use cases.

02

Assign authority

Connect policy, ownership, approvals and review responsibilities to actual systems and decisions.

03

Operate the controls

Move beyond static documentation by linking controls to workflows, evidence and accountable operators.

04

Create management evidence

Preserve decisions, incidents, reviews, outcomes and improvements so the management system can be inspected over time.

Evidence

What should be preserved.

  • AI inventory and scope records
  • Policies and objectives
  • Risk and impact assessments
  • Control ownership
  • Monitoring and assurance records
  • Incidents and corrective actions
  • Management review evidence
Cybatar operating layer

Where the platform supports the operating model.

AI EstateAI ControlAI AssuranceEvidence FabricExecutive Control TowerAudit Room

Cybatar can support management-system evidence and operating workflows. Use of Cybatar does not by itself constitute ISO/IEC 42001 certification.

Primary sourceISO — ISO/IEC 42001 Artificial intelligence management system ↗

Use the authoritative source for legal, standards or framework text. Cybatar provides an operating interpretation for institutional implementation.

From guidance to operating control

Map this framework to your AI estate.

Cybatar can structure obligations, applicability decisions, controls and evidence requirements around the institution’s actual AI systems.

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