Identity
Person names, dates of birth, and passport numbers
PII redaction
Identify sensitive values
Replace with stable tokens
Restore only inside your boundary
Direct answer
PII redaction detects personally identifiable information and removes, masks, or replaces it so the original value is not exposed to people or systems that do not need it.
Unlike a blanket block, redaction can preserve the useful context around a sensitive value. A support transcript, AI prompt, or log entry can continue through its workflow while names, email addresses, account numbers, or other identifiers are replaced according to policy.
Detection scope
Person names, dates of birth, and passport numbers
Email addresses, phone numbers, and postal addresses in 29 languages
National ID, tax, and social security numbers for 47 countries, checksum-validated
Payment cards, IBANs, and bank account numbers
232 API-key, token, password, and private-key formats
Custom regex rules, term dictionaries, and Exact Data Match on your customer records
Each detector can be switched on per environment, and the console playground shows exactly which rule matched any piece of text.
Policy flow
574 built-in detectors, a local named-entity layer and your own rules find personal data and secrets in prompts, JSON, and documents.
Each rule masks, redacts, partially shows, hashes, encrypts, alerts on, or blocks what it finds.
Masked values become tokens before the request leaves; the real values come back in the response.
The traffic log records which rules matched and how often, never the values themselves.
Enterprise workflows
Mask prompts, attachments, and streamed responses between your apps and nine AI providers.
Route browser and desktop AI traffic through the proxy, so prompts are masked with no code change.
Mask documents before they're embedded, with stable stand-ins so retrieval still works.
Call mask and unmask from the SDK wherever text leaves your systems.
PII redaction is the process of detecting personally identifiable information and removing, masking, or replacing it so the original value is not exposed to people or systems that do not need it.
Redaction removes or replaces sensitive values in content. Data masking is a broader term that can also include substituting realistic values, tokenization, encryption, or hiding data only in a particular interface.
Yes. A redaction control can inspect a prompt or attachment before submission and replace detected personal information according to policy. Maskflare does this as a gateway or forward proxy in front of OpenAI, Anthropic, Gemini, and other providers, and can restore the values in the response.
No. PII redaction is one possible policy action inside a broader data loss prevention program. DLP determines what sensitive data is present and whether it should be allowed, blocked, audited, or transformed.
Maskflare is hosted in the European Union. Prompts and responses are masked in memory and never stored; only metadata about each request is recorded.
Book a 30-minute demo. We run your kind of prompts, providers, and data types through Maskflare and show how the gateway, proxy, or SDK would fit your stack.
See it on your own data
28-day free trial or 10,000 requests, whichever comes first. Point one app at the gateway or enroll a few laptops,
and watch what gets masked. Or talk to us first.