GDPR compliance for sensitive columns is not optional. It is enforceable, with penalties reaching millions. Names, email addresses, phone numbers, national IDs, IP addresses—these are identifiers. If they appear in any column, that column becomes sensitive. The law demands that you limit access, apply encryption or pseudonymization, and track who touches it.
The first step: locate every sensitive column. Automated column scanning against schema metadata helps. Search for known data patterns, and flag any columns holding PII. Tag them explicitly in your ORM or database schema. Do not rely on developer memory; enforce detection in CI.
Next: restrict access. Role-based permissions must ensure that only authorized processes or users can query these columns. Mask values in non-prod environments. Apply field-level encryption for persistent protection. Ensure that exports and ETL jobs respect masking rules.
Logging is a common failure point. SQL queries that return sensitive columns should never log raw values. Structured logging with redaction must be the default. Audit all data flows for compliance.