European Commission EU AI Act Service Desk
Enforcement and application are phased; general transparency effective Aug 2026 and specified high-risk categories later. Never assume universal simultaneous duties.
Updated 12 October 2026 · Primary source review
AI Governance, Model Risk & Evidence Assurance: current evidence questions
Can vendor AI assertions be traced to evidence that supports the buyer's decision?
These sources are genuine research anchors about the market or applicable records. They are not evidence of an unnamed client's specific claim, a cleared regulatory status or a confirmed purchase.
When a buyer may need a documented source review
- An AI vendor asserts a model performance number without dataset detail
- A buyer is asked to accept security and auditability claims
- An AI system faces staged EU disclosure duties
What an independent analyst will check
- Specific model/version and evaluation dataset disclosure
- Source of performance figure and independent reproducibility
- Which staged obligations apply to provider/deployer at the decision date
Original sources and what they do not establish
NIST AI RMF
Voluntary risk management framework and updated guidance, not a formal certification.
What the paid output can look like
- Versioned vendor claim-to-test matrix
- Reproducibility and evidence-gap register
- Vendor evidence request pack
Where we stop
No certification, penetration test, model safety guarantee or legal conformance assessment.
Choose a first evidence product →
Source-page editorial control: source content last manually reviewed as at 12 October 2026. Reverify later rule changes and each relevant jurisdiction before reliance. No claims of platform or source-provider partnership.