db-temporal-history

To audit database GDPR compliance, you need to check temporal data modeling for soft-delete consistency, audit trail presence, and PII data handling. This process identifies retention policy gaps to ensure data erasure meets regulatory requirements.

Temporal data modeling tracks the history and lifecycle of database records over time. Soft-delete consistency ensures that `deleted_at` or `is_deleted` columns are uniformly applied across tables to preserve data without permanent erasure.

Checking for a consistent audit trail involves verifying the existence of change history records for sensitive tables. The audit examines your database schema to ensure all data modifications are tracked properly for lifecycle compliance.

Yes, you can use database auditing scripts to verify CCPA data erasure policies. The audit reviews temporal modeling and retention configurations to detect issues with data lifecycle management and ensure regulatory compliance.

To audit temporal modeling and data lifecycle consistency, you need to provide access to the database schema and relevant data. This access allows the audit to identify soft-delete inconsistencies and missing audit trails.