Integration with AI governance

ISO 27001 provides the security baseline. AI frameworks add system‑specific governance: oversight, transparency, robustness, and socio‑technical risk.

The common goal is to avoid duplication:

• implement one control once
• map it to requirements across frameworks
• link evidence so it is reusable

How Modulos enables reuse

Frameworks

EU AI ActRegulatory

ISO 42001Standard

Requirements

Art. 9.1Risk management

Art. 10.2Data governance

6.1.1Risk assessment

Controls

Risk assessment processReusable

Data validation checksReusable

Components

Risk identification

Impact analysis

Evidence

Risk registerDocument

Test resultsArtifact

Requirements preserve the source structure

Controls are reusable across frameworks

Evidence attaches to components (sub-claims)

In practice, teams reuse:

• access control, logging, and incident management controls from ISO 27001
• governance and oversight controls from ISO 42001
• system‑level requirements and conformity‑style evidence patterns from the EU AI Act

Example: reuse evidence across frameworks

The practical integration win is evidence reuse:

• implement a single security control (for example access control or logging)
• map it to requirements across ISO 27001 and AI governance frameworks
• link evidence once so audits can follow the same proof across multiple frameworks

Evidence

Control Components

Controls

model_validation.pdfUploaded 2024-12-15

Component A

Component B

Component C

Component D

Component E

CTRL-001Model Validation

CTRL-002Data Quality

Same evidence reused across controls

Attach evidence to the smallest meaningful claim.

Related pages

ISO 42001

AI management system governance and certification context

EU AI Act

AI system level obligations and conformity-style evidence

Governance operating model

Requirements, controls, evidence, and reviews in Modulos

Disclaimer

This page is for general informational purposes and does not constitute legal advice.