Different frameworks ask different questions
The EU AI Act, NIST AI RMF, ISO/IEC 42001 and DORA have different scopes and obligations. Start with the requirements applicable to your organization and use case.
Frameworks & evidence
Turn obligations
into operating controls.
AI governance becomes more useful when a framework requirement can be traced to a business owner, technical policy, review process and available evidence.
A governed operating modelGoverned
-
01
ScopeBusiness workflow and assets
-
02
ControlIdentity, policy and approvals
-
03
OperateConfigured gateway and services
-
04
ReviewOwners, records and evidence
Identity · Policy · EvidenceWorkflow illustration
What to look for
Understand the control gap.
A policy statement needs implementation
A documented principle is more useful when reviewers can identify the assets in scope, the policy that implements it and who owns the control.
Evidence needs context
A request log, publishing approval and control review each answer a different question. Keep the links between them clear.
A practical approach
Build a path
you can review.
Define the scope
Identify the business purpose, supported assets, data and owners of the AI use case before applying a control set.
Connect the control to the system
Reference relevant model, MCP, DLP and access policies so reviewers can see where a control operates.
Set a review cadence
Assign accountable owners and retain review snapshots and approvals. Revisit controls when workflows and access change.
Keep technical evidence available
Use configured request logs and administrative audit records to support review. Map evidence to the specific requirement rather than assuming that logging alone proves compliance.
Primary references
Start with the source.
Review applicability and interpretation with your governance and legal teams.
- European Commission — AI Act
- NIST — AI Risk Management Framework
- ISO — ISO/IEC 42001
- ESMA — Digital Operational Resilience Act
This guide describes governance practices and product use cases. It is not legal advice, a certification or a guarantee of regulatory compliance.
The product path
See the controls in context.
See AI Warden in action
Make your next AI rollout a governed one.
Bring your models, tools and security requirements. See how AI Warden puts them under one control plane.