Strip PII and sensitive data from text before processing with AI. Use when redacting personal information, GDPR compliance, anonymizing customer data, masking credit cards, redacting PHI for HIPAA, stripping emails and phone numbers, de-identifying medical records, removing names from transcripts, PII detection and replacement, building a data anonymization pipeline, sanitizing text before sending
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Redacting PII and Sensitive Data with DSPy
Strip personal information and sensitive data from text before it reaches an LM — or before it leaves your system.
Step 1 - Understand What to Redact
Before writing code, answer three questions:
What PII types? Names, emails, phones, SSNs, credit cards, addresses, dates of birth, IP addresses, medical record numbers (MRNs), or all of the above.
Replacement strategy? See the table in Step 3.
Compliance requirement? GDPR (EU
[Description truncada. Veja o README completo no GitHub.]