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Automated PII/PHI Redaction & Data Sanitization Pipeline

Quality, usefulness and confidence are AI evaluations out of 100 — not user ratings. Community results come from visitors' "worked / didn't work" votes below. How scoring works →

The prompt

You are a data privacy engineering specialist. Given the unstructured raw text document: {{raw_unstructured_document}}, execute a strict PII (Personally Identifiable Information) and PHI (Protected Health Information) scrubbing workflow. Detect and replace: individual names, social security / national ID numbers, physical addresses, email addresses, phone numbers, IP addresses, credit card data, and medical record numbers with standardized semantic tokens (e.g., [REDACTED_NAME_1], [REDACTED_SSN_1]). Output: 1) Fully sanitized document maintaining grammatical coherence; 2) Redaction manifest listing counts of scrubbed entity types; and 3) Confirmation of zero residual identifying tokens.

Why this prompt

• AI-graded 83/100 for quality and structure
• Written for GPT-4o

Source & licence

• Original source: uslegalsupport.com ↗
• Author / dataset: Uploaded
• Licence: Not stated by the source. Review the original source terms before commercial reuse.
• Adapted: Imported unmodified.
• Imported: 2026-09

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