firestore-rules-audit

You audit Firestore rules by validating authentication gates, read/write permissions, and data isolation across clinical collections to ensure LGPD compliance and identify policy gaps before deployment.

Protecting clinical data requires Firestore rules that enforce authentication gates, validate required fields, manage status transitions, restrict delete controls, and ensure data isolation across patients, protocols, and labResults collections.

Yes, you can audit Firestore rules across multiple clinical collections including patients, protocols, audit_logs, sample_queue, sample_compliance, sample_inventory, stock, medications, labResults, endoinjectSessions, bodyScanRecords, and lifestyleRecords.

Yes, this Firestore rules audit verifies index coverage and rate limiting, alongside access controls, field presence validation, status transitions, and export restrictions as defined in the compliance checklist.

The best way to validate data isolation and archiving strategies is running an automated rule evaluation that checks for field presence, access controls, and archiving versus deletion strategies across all clinical data collections.

Firestore rules fail to enforce proper access controls when misconfigurations exist in authentication gates, write/read permissions, or delete controls, which an automated audit can identify across all clinical collections.