Probe and check coverage aligned to Art
10 (Data and Data Governance).
Training, validation, test data must meet quality + relevance criteria.
Last reviewed June 2026
Data and Data Governance sits in the data governance surface, and EU AI Act rates it critical. Training, validation, test data must meet quality + relevance criteria. For teams shipping LLM and agentic features, a control like this is only as good as the evidence that it was actually tested - an unverified control is a finding waiting for an auditor.
Penaxtra turns this EU AI Act obligation into testable, recurring evidence: scheduled scans and posture checks produce findings tied to Art.10, and the append-only audit log records what was tested and when, which is exactly what an assessor asks for. Every relevant finding is created with the EU AI Act Art.10 identifier already attached, so it lands in the audit-evidence pack mapped to the control rather than as a screenshot someone has to translate later. Where the same weakness touches another framework, the cross-framework overlap means one finding satisfies several control cells at once.
10 (Data and Data Governance).
10 control identifier.
Findings for Art.10 carry the EU AI Act Art.10 identifier and cross-map to the related controls in the other five frameworks Penaxtra covers.
Training, validation, test data must meet quality + relevance criteria. It is part of EU AI Act, rated critical.
Penaxtra turns this EU AI Act obligation into testable, recurring evidence: scheduled scans and posture checks produce findings tied to Art.10, and the append-only audit log records what was tested and when, which is exactly what an assessor asks for.
Yes. Each finding is tagged with the EU AI Act Art.10 control identifier and exported in the PDF and JSON evidence pack, so it maps straight onto the auditor control list instead of needing manual translation.
Scoped walkthrough of the EU AI Act / Art.10 surface against your environment. No credit card.