Privacy & Data Governance

Agentic governance must connect seamlessly to privacy, compliance, and enterprise data-control workflows.

The AI Governance and Evidence Infrastructure (AGEI) bridges the gap between AI security operations and enterprise privacy requirements, ensuring that every autonomous action is evaluated against data minimization rules and lawful processing constraints.

Core Data Privacy Controls

  • Record of Processing Activities (RoPA):processing_activities tables map AI-driven data interactions directly to their operational policies and receipts, providing a dynamic foundation for GDPR Article 30 compliance.
  • Data Classification and Minimization:Before agents execute tool calls or ingest documents, the target resource's data classification is checked. We enforce strict minimization so that immutable event receipts do not casually store raw PII or full customer records inside payload hashes.
  • Personal-Data References and DPIA Linkage:Instead of storing raw data, the schema utilizes hashed data_subject_identifiers and personal_data_references to index locations. High-risk processes are structurally linked to their corresponding Data Protection Impact Assessments (dpia_records).
  • Lawful Basis and Consent Evidence:lawful_basis_records and consent_records ensure that an agent cannot leverage datasets or user data if the foundational consent has been revoked or expired.
  • Cross-Border Transfers:The policy plane evaluates geopolitical boundaries to prevent an agent from inadvertently transferring sensitive data to unapproved jurisdictions, tracked via cross_border_transfer_records.

Data Subject Rights and Lifecycle Operations

Complying with privacy rights is exceptionally difficult in AI contexts. AGEI provides specific schema support for managing these rights:

  • Data Subject Requests (DSRs): Automated workflows (data_subject_requests) track erasure or access requests down to the exact agentic actions or vaults interacting with that user's data.
  • Retention and Deletion: retention_policies are mapped to specific evidence payloads to enforce automated destruction at the end of their lifecycle.
  • Redaction and Legal Holds: When data must be preserved for litigation, legal_holds freeze the scoped evidence. Conversely, privacy_redaction_events provide an auditable trail that specific PII was correctly stripped from an AI model's training set.