ag-referencia-seguranca-rules

You enforce row-level security and LGPD compliance by enabling RLS on all database tables, maintaining a structured audit_logs table, and applying automatic PII masking to ensure data minimization and regulatory adherence.

The best way to implement PII masking in AI contexts and logs is by applying standardized security reference rules that automatically detect and redact sensitive personally identifiable information before data reaches processing pipelines.

You set up a comprehensive audit trail by creating a dedicated audit_logs table that captures structured logging entries, recording the user, action, timestamp, source, and outcome for every data interaction across your systems.

Yes, this security rules approach works for APIs and data processing pipelines by applying universal data handling rules that enforce row-level access control, auditability, and LGPD-compliant data minimization across all system layers.

Yes, you can define granular permission levels because the security rules framework explicitly supports structured access tiers including superadmin, core_team, external_agent, and client roles to restrict data visibility appropriately.

You need PII masking and structured audit logs for LGPD compliance whenever your systems process, store, or transmit personally identifiable information, ensuring data minimization, documented legal bases, and full traceability of access events.