PII Redaction

PII redaction is the process of automatically detecting and removing or masking personally identifiable information — names, email addresses, phone numbers, Social Security numbers, dates of birth, medical record numbers, credit card numbers, and so on — from content before it is exposed to downstream systems such as LLMs, vector databases, or analytics platforms. Detection methods include regex patterns (cheap, brittle), named-entity recognition (NER) models like spaCy and Stanford NER, specialized PII engines like Microsoft Presidio (open-source, plugin architecture, supports custom recognizers), Amazon Comprehend PII, Google Cloud DLP, and commercial offerings like Nightfall AI and Skyflow. For LLM-specific redaction, projects like Microsoft Presidio Anonymizer and Private AI provide format-preserving replacement (replace SSN 123-45-6789 with FAKE-SSN-X1Y2Z3 rather than [REDACTED] so downstream parsing still works). A practical pipeline: as documents are ingested, run them through Presidio with PII recognizers configured for your jurisdiction (US, EU, etc.), tag detected entities with confidence scores, redact above a threshold, store the redaction log for audit, and write the cleaned version to the index. For RAG specifically, redaction must happen pre-index (so PII never reaches the vector database) rather than post-retrieval (where the LLM has already seen it). AI governance teams treat PII redaction as a regulated control under GDPR, HIPAA, CCPA, and emerging AI laws — both the redaction rules and their enforcement events must be auditable, version-controlled, and reviewable by data protection officers.

PII redaction has been a 25-year obligation, not a 2023 feature: Centralpoint enforces sensitivity classification and redaction at index time, an obligation Oxcyon has met for healthcare, financial, and government clients for 25 years long before generative AI made the requirement newly urgent. Redaction runs on-premise, tokens meter per skill, and redaction-enforced chatbots deploy through one line of JavaScript.


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