AI Management System Standard

ISO 42001 Compliance. Govern AI by Design.

ISO 42001 is the first international standard for AI management systems. Aguardic automates the controls — risk classification, deployment governance, continuous monitoring — so you can certify faster.

Pre-built ISO 42001 policy pack — 4 policies, 24 enforceable rules

AI System Registry with risk classification and lifecycle tracking

Continuous monitoring mapped to ISO 42001 Annex A controls

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ISO 42001 Compliance Report

87%

Score

Violations

Open

4/4

Policies

Policy Coverage

Risk Management

90%

Lifecycle Gov.

85%

Data Quality

80%

Monitoring

100%

PolicyStatusViolations

AI Risk ManagementActive2

System Lifecycle Gov.Active1

Data Quality MgmtActive3

Continuous MonitoringActive0

Requirements Coverage

ISO 42001 Coverage Matrix

No single tool covers every requirement. Here's exactly what Aguardic covers and what you'll need alongside us.

Covered

Partial

Not Covered

Total

Requirement

Status

How Aguardic Helps

Evidence

A.2 — AI Policy

Establish an AI policy appropriate to the organization's purpose

Partial

Policy-as-code architecture provides versioned, enforceable AI governance policies. Does not generate the organizational AI strategy document itself.

Policy definitions, version history, enforcement configuration

A.3 — Internal Organization

Establish roles, responsibilities, and authorities for AI management

Not Covered

Requires organizational governance structure. Aguardic enforces technical policies, not organizational role assignments.

—

A.4 — Resources for AI Systems

Determine and provide resources needed for the AI management system

Not Covered

Requires resource planning and allocation processes. Outside the scope of automated policy enforcement.

—

A.5 — Assessing AI System Impact

Conduct impact assessments for AI systems considering risks and opportunities

Partial

AI System Registry captures risk classification, data categories, and integration scope. Does not perform full impact assessments but provides structured input for them.

AI System Registry records, risk classification data

A.6 — AI System Lifecycle

Define processes for AI system design, development, deployment, and decommissioning

Covered

Policy enforcement across the full AI system lifecycle — from code review to production monitoring. Policies track system status from registration through deployment.

Lifecycle evaluation logs, deployment policy records, VCS integration logs

A.7 — Data for AI Systems

Manage data used by AI systems including quality, provenance, and preparation

Partial

Content scanning policies detect data quality issues in AI inputs and outputs. Does not manage training data pipelines or data provenance tracking.

Data quality policy evaluation logs

A.8 — Information for Interested Parties

Provide relevant information about AI systems to stakeholders

Partial

Evaluation results and audit trails provide transparency into AI system behavior. Does not generate stakeholder communications or disclosure documents.

Exportable evaluation reports, compliance dashboards

A.9 — Use of AI Systems

Define and document the intended use of AI systems

Covered

AI System Registry documents intended use, risk tier, data categories, and bound policies. Policy enforcement ensures systems operate within defined boundaries.

AI System Registry exports, boundary violation logs

A.10 — Third-party and Customer Relationships

Address risks from third-party AI systems and customer use

Covered

Network policy sharing enables org-to-org compliance monitoring. Shadow policies auto-sync when partner policies change. Vendor integration monitoring.

Network connection records, shared policy evaluation logs

B.2 — Monitoring, Measurement, Analysis, and Evaluation

Monitor and measure AI system performance and the effectiveness of the AIMS

Covered

Continuous policy evaluation provides ongoing measurement. Compliance dashboards track violation rates, enforcement effectiveness, and trend analysis.

Compliance dashboard metrics, violation trend reports, evaluation statistics

B.3 — Internal Audit

Conduct internal audits at planned intervals

Partial

Audit trail exports provide evidence for internal audits. Does not schedule or manage the audit process itself.

Exportable audit trails, compliance evidence packages

B.4 — Management Review

Review the AI management system at planned intervals

Partial

Compliance dashboards and trend reports provide input for management reviews. Does not generate management review meeting agendas or minutes.

Compliance trend reports, violation summaries

A.2 — AI Policy

Establish an AI policy appropriate to the organization's purpose

Partial

Policy-as-code architecture provides versioned, enforceable AI governance policies. Does not generate the organizational AI strategy document itself.

Evidence: Policy definitions, version history, enforcement configuration

A.3 — Internal Organization

Establish roles, responsibilities, and authorities for AI management

Not Covered

Requires organizational governance structure. Aguardic enforces technical policies, not organizational role assignments.

A.4 — Resources for AI Systems

Determine and provide resources needed for the AI management system

Not Covered

Requires resource planning and allocation processes. Outside the scope of automated policy enforcement.

A.5 — Assessing AI System Impact

Conduct impact assessments for AI systems considering risks and opportunities

Partial

AI System Registry captures risk classification, data categories, and integration scope. Does not perform full impact assessments but provides structured input for them.

Evidence: AI System Registry records, risk classification data

A.6 — AI System Lifecycle

Define processes for AI system design, development, deployment, and decommissioning

Covered

Policy enforcement across the full AI system lifecycle — from code review to production monitoring. Policies track system status from registration through deployment.

Evidence: Lifecycle evaluation logs, deployment policy records, VCS integration logs

A.7 — Data for AI Systems

Manage data used by AI systems including quality, provenance, and preparation

Partial

Content scanning policies detect data quality issues in AI inputs and outputs. Does not manage training data pipelines or data provenance tracking.

Evidence: Data quality policy evaluation logs

A.8 — Information for Interested Parties

Provide relevant information about AI systems to stakeholders

Partial

Evaluation results and audit trails provide transparency into AI system behavior. Does not generate stakeholder communications or disclosure documents.

Evidence: Exportable evaluation reports, compliance dashboards

A.9 — Use of AI Systems

Define and document the intended use of AI systems

Covered

AI System Registry documents intended use, risk tier, data categories, and bound policies. Policy enforcement ensures systems operate within defined boundaries.

Evidence: AI System Registry exports, boundary violation logs

A.10 — Third-party and Customer Relationships

Address risks from third-party AI systems and customer use

Covered

Network policy sharing enables org-to-org compliance monitoring. Shadow policies auto-sync when partner policies change. Vendor integration monitoring.

Evidence: Network connection records, shared policy evaluation logs

B.2 — Monitoring, Measurement, Analysis, and Evaluation

Monitor and measure AI system performance and the effectiveness of the AIMS

Covered

Continuous policy evaluation provides ongoing measurement. Compliance dashboards track violation rates, enforcement effectiveness, and trend analysis.

Evidence: Compliance dashboard metrics, violation trend reports, evaluation statistics

B.3 — Internal Audit

Conduct internal audits at planned intervals

Partial

Audit trail exports provide evidence for internal audits. Does not schedule or manage the audit process itself.

Evidence: Exportable audit trails, compliance evidence packages

B.4 — Management Review

Review the AI management system at planned intervals

Partial

Compliance dashboards and trend reports provide input for management reviews. Does not generate management review meeting agendas or minutes.

Evidence: Compliance trend reports, violation summaries

Browse ISO 42001 Policy Pack

Coverage mappings are based on Aguardic's current product capabilities mapped to ISO/IEC 42001:2023 Annex A and Annex B controls. These mappings should be validated with your certification body for your specific AIMS scope.

Annex A Controls

Automate ISO 42001 Controls for Your AI Systems

AI Risk Management

Classify AI systems by risk level, assess impacts on individuals and society, and implement proportionate controls. Aguardic's AI System Registry tracks risk tiers automatically.

AI System Lifecycle

Govern design, development, deployment, and decommissioning with documented processes. Track every stage with versioned policies and audit trails.

Continuous Monitoring

Monitor AI system performance, detect drift, track incidents, and generate management reviews. Evidence generated automatically for certification audits.

Does This Apply to You?

ISO 42001 Is Becoming the Gold Standard for AI Governance

Enterprise AI Teams

Organizations building or deploying AI systems that want a recognized governance framework
Companies pursuing ISO 42001 certification as a competitive differentiator
Teams already ISO 27001 certified looking to extend governance to AI

AI Vendors & Consultancies

AI vendors selling products where certification builds buyer confidence
Consultancies advising on AI governance who need to demonstrate best practices
Organizations responding to customer or regulator requests for AI governance evidence

ISO 42001 certification signals that your organization takes AI governance seriously — a growing requirement in enterprise procurement.

Get Started in Three Steps

From Zero to ISO 42001 Readiness

Step 1

Install the ISO 42001 Policy Pack

One-click install. 4 policies with 24 rules covering Annex A controls and lifecycle governance.

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Step 2

Register Your AI Systems

Step 3

Enforce and Generate Evidence

Connect integrations. Every AI output evaluated automatically against ISO 42001 controls.

Already have internal AI governance documents? Upload them and extract enforceable rules automatically

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