IS — Integrity, Safety & Security
IS-03: Privacy assessment and data minimisation
Assess privacy, consent, retention, cross-border transfer and minimisation requirements for AI processing of personal data.
At a glance
- Pillar
- IS — Integrity, Safety & Security
- Priority
- critical
- Applies to
- All AI systems
- Typical owner
- DPO / Privacy Lead
- VERITRAIL modules
- Assess, Control
- Control library
- v1.0.0
Evidence that demonstrates this control
Examples of records an assessor would expect to see. Until a named reviewer has examined them, evidence is labelled User-asserted or Missing evidence in VERITRAIL outputs, never Verified.
- Privacy/data-protection impact assessment
- Retention schedule
- Transfer assessment
Indicative framework mappings
| Framework | References |
|---|---|
| NIST AI RMF | MEASURE 2.10, MAP 1.1 |
| ISO/IEC 42001 | A.7.4, A.5.4 |
| EU AI Act | Art. 10 |
Framework mappings are indicative VERITRAIL interpretations to support governance readiness and evidence collection. They do not constitute legal advice, a certification, or a determination of conformity with ISO/IEC 42001 or compliance with the EU AI Act or any other law.
Where the self-assessment asks about it
- DAT-Q2 — Are privacy, consent, retention, cross-border transfer, and data-minimization requirements assessed?
Related critical risk flags
- Sensitive data may reach prompts, logs or external models — Unredacted personal or confidential data in prompts and logs creates privacy and confidentiality exposure.
Last reviewed: