data-leak-prevention

Prevent sensitive data exposure by enforcing field-level data masking and redaction rules across API responses, logs, and storage. This ensures PII, secrets, and internal identifiers are scrubbed before output.

Field-level data masking is the process of filtering specific sensitive fields from API responses and logs to meet data-protection requirements. It enforces explicit response schemas and caller-based exposure controls to prevent unauthorized data leaks.

Audit serializers and data models for data leaks by applying automated checks that review data flows for PII, secrets, and internal identifiers. This process enforces explicit response schemas and field filtering to ensure safe data handling.

Yes, safe logging and encrypted storage for PII are supported through compliance-oriented logging and error handling with sanitized outputs. It enforces TLS transit and redaction to meet data-protection requirements.

Yes, you can configure policies for sensitive fields and caller-based exposure to control data visibility. This allows specific response schemas and field filtering rules to be applied dynamically based on the requester.