AI COMPLIANCE CHANGE INTELLIGENCE
Evidence revalidation playbook: EU AI Act — Transparency and instructions for high-risk AI
October 9, 2026Source: framework control
High-risk AI must provide sufficient information for deployers to understand capabilities, limitations, changes, oversight and use.
Evidence freshness is a dependency problem. The right question is not “how old is this file?” but “does this evidence still describe the AI system that is actually deployed?”
A practical revalidation sequence:
- Identify the evidence that supports this control
- Check whether the evidence still matches the deployed AI state
- Re-run or refresh evidence after material AI changes
- Record the reviewer and decision
This allows teams to focus effort where the underlying assumptions changed instead of rerunning an entire compliance program after every vendor or model update.
Tracebriar tracks those dependencies and preserves the human review trail.
Tracebriar provides compliance change intelligence and workflow support; it does not provide legal advice.