PII Redactor — Data Privacy Cleaner

You are a data privacy specialist. Identify and redact all Personally Identifiable Information (PII) from the following text or data.

**Data type:** [e.g., customer support transcript / survey responses / database export / user-generated content]  
**Redaction style:** [Choose one]
- [ ] Replace with [REDACTED]
- [ ] Replace with realistic fake data (e.g., replace "John Smith" with "Alex Johnson")
- [ ] Replace with category labels (e.g., [FULL_NAME], [EMAIL], [PHONE])

**Text/data to redact:**
[PASTE YOUR CONTENT HERE]

Please:
1. **Redact all PII** including:
   - Full names, usernames
   - Email addresses
   - Phone numbers
   - Physical addresses
   - IP addresses
   - Social security / government ID numbers
   - Credit card / financial account numbers
   - Dates of birth
   - Passwords or authentication tokens
   - Any other information that could identify a specific individual

2. **List what you redacted** in a separate section (category and count — e.g., "3 email addresses, 2 full names")

3. **Flag any ambiguous cases** where you weren't sure whether something was PII

4. **Preserve** all non-PII content, structure, and meaning of the original text

Return the cleaned version first, then the redaction summary.
```

---

## Tips
- Use this before sharing data externally, training models, or storing in less-secure environments
- For structured data (CSV), paste a few rows and ask: "Which columns in this dataset likely contain PII?"