DATA Owner: Data Protection Officer / Privacy Team / CISO

AI Data Controls

Address the unique risks of data input, retention, and generation in AI systems, which often differ from standard data protection needs.

Framework Mapping

Controls from each source framework that map to this domain.

Framework Mapped Controls
ISO 42001
A.8 Data for AI Systems Cl.7 Support Cl.8 Operation
NIST AI RMF
GV-1 Policies MP-2 Context & Purpose MP-4 Data Requirements MS-2 Performance
OWASP LLM
LLM06 Sensitive Info Disclosure LLM02 Insecure Output
OWASP Agentic
ASI03 Data & Model Poisoning ASI08 Compliance & Regulatory

Controls

3 controls across Tier 1 (essential) and Tier 2 (advanced).

Tier 1 ISO A.8 NIST GV-1 OWASP LLM06

AI Data Input Governance
Tier 1 ISO A.8 ISO Clause 7 NIST MP-4 OWASP LLM06 OWASP ASI08

AI Interaction Data Privacy and Retention
Tier 2 ISO A.8 NIST MS-2 OWASP LLM02 OWASP LLM06

PII Minimization in AI Outputs

Audit Checklist

Quick-reference checklist items grouped by control.

  • ☐ Data input policy exists, is current, and explicitly maps data classification tiers to permitted AI interactions
  • ☐ DLP controls are active on all approved AI tool access paths (browser, API gateway, endpoint)
  • ☐ User acknowledgment records confirm policy acceptance prior to AI tool access
  • ☐ Quarterly sample audits of AI interactions are documented with findings and remediation actions
  • ☐ Automated data pipelines include classification validation gates before AI submission
  • ☐ Retention schedule exists and maps each category of AI interaction data to a defined retention period with regulatory justification
  • ☐ DPAs with AI vendors explicitly address data retention, training opt-out, and deletion procedures
  • ☐ Privacy notices are presented to users before AI interaction data is collected or stored
  • ☐ Automated purge mechanisms are operational and logs confirm on-schedule execution
  • ☐ Quarterly audits verify no orphaned interaction data exists beyond retention periods
  • ☐ Post-generation PII scanning is active on all production AI output channels
  • ☐ Detection rules cover at minimum: names, emails, phone numbers, national identifiers, and financial account numbers
  • ☐ PII leakage incident response procedure is documented and includes regulatory notification timelines
  • ☐ Inferential re-identification risk assessments are conducted for high-risk AI use cases
  • ☐ Role-based output policies adjust PII suppression based on consumer authorization level