Evaluation guide
A PII redaction API needs clear contracts and safe failure behavior
- 01
Identify sensitive values
- 02
Replace with stable tokens
- 03
Restore only inside your boundary
Direct answer
A PII redaction API accepts content, identifies personal information, and returns transformed content plus policy-safe detection metadata. Enterprise evaluation should verify request limits, supported formats, deterministic behavior, regional processing, retention, authentication, latency, and failure handling.
The response must be usable by applications
A useful API returns the transformed content and structured findings that identify category, location, confidence, and action without unnecessarily echoing the sensitive value. Stable error codes and versioned behavior matter because policy decisions become application dependencies.
Clients may need consistent placeholders, offset mappings, batch processing, streaming, or customer-defined entity types. These requirements should be specified before integration rather than inferred from a demonstration endpoint.
Define privacy and failure semantics
Teams should know where requests are processed, whether content is retained, how diagnostic logging works, and whether customer data is used to improve models. Authentication, authorization, encryption, rate limits, and tenant isolation belong in the API evaluation.
Failure behavior is a policy decision. A high-risk submission might fail closed, while a lower-risk batch could queue safely for retry. Silent pass-through is dangerous unless explicitly accepted for the workflow.
- Versioned request and response schema
- Findings without unnecessary value reproduction
- Idempotency, batching, and retry behavior
- Documented retention and processing region
- Latency, throughput, and availability objectives
- Fail-open, fail-closed, and queueing policy
Treat examples as interface proposals until released
Sample code can explain the intended developer experience but should not be mistaken for a live, supported endpoint. Production evaluation requires versioned documentation, authentication details, service limits, and tested behavior.
MaskFlare's PII redaction API is a design direction. The current technical overview uses illustrative contracts, and exact interfaces will be defined through implementation and pilot feedback.
Related PII guidance
Frequently asked questions
What should a PII redaction API return?
Typically transformed content and structured findings such as entity type, position, confidence, and action. It should avoid returning the original sensitive value unless explicitly required and protected.
Should the API fail open or fail closed?
That depends on workflow risk. The application should choose explicitly, and the API must provide predictable errors and retry guidance so the client can enforce that choice.
Can redaction APIs process files?
Some can, but file parsing, OCR, image redaction, archives, and size limits are separate capabilities that must be verified rather than assumed from text support.