Probe and check coverage aligned to Art
10 (Data and Data Governance).
Training, validation, test data must meet quality + relevance criteria.
Last reviewed July 2026
In EU AI Act, Data and Data Governance addresses data governance. Training, validation, test data must meet quality + relevance criteria. Penaxtra records this control at critical severity and establishes its state by exercising it against the running system, so the result reflects observed behavior rather than a documented assertion.
Penaxtra turns this EU AI Act obligation into recurring, testable evidence: scheduled scans and posture checks produce findings tied to Art.10, and the append-only audit log records what was tested and when. The EU AI Act Art.10 identifier is attached when the finding is created, so it appears in the exported evidence pack already mapped to the control. Where the same weakness maps to another framework, the finding carries those control identifiers as well.
10 (Data and Data Governance).
10 identifier.
Findings for Art.10 carry the EU AI Act Art.10 identifier along with the corresponding control identifiers in the other frameworks Penaxtra maps, so one result is reflected across each mapped framework.
Training, validation, test data must meet quality + relevance criteria. It is a EU AI Act control; Penaxtra assesses it at critical severity.
Penaxtra turns this EU AI Act obligation into recurring, testable evidence: scheduled scans and posture checks produce findings tied to Art.10, and the append-only audit log records what was tested and when.
Each finding is tagged with the EU AI Act Art.10 identifier and exported in the PDF and JSON evidence pack, so it appears on the auditor control list with the identifier already attached.