Go Toolstack

PII & Sensitive Data Redaction Tool

Automatically mask credit cards, email addresses, phone numbers, and SSNs from logs.

PII & Sensitive Data Redaction Tool

Automatically mask credit cards, email addresses, phone numbers, and SSNs from logs.

How It Works

1
Enter or Paste Text
Type or paste your text, code, or data directly into the input workspace.
2
Apply Transformation
Run the tool to convert, filter, format, or inspect your text content.
3
Copy Output
Copy the clean processed output to your clipboard with a single click.

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Concept & Knowledge Hub

PII Sanitizer & Data Redactor, LLM Prompt Anonymizer & Token De-Anonymizer

Sharing customer support tickets, error logs, and proprietary communications with Large Language Models (ChatGPT, Claude, Gemini) introduces significant privacy risks and GDPR/HIPAA compliance violations if Personally Identifiable Information (PII) is exposed. The PII Sanitizer redacts sensitive identifiers (emails, phone numbers, IP addresses, SSNs, credit card numbers) using reversible surrogate tokens, allowing users to safely query AI models and restore original identities in AI responses.

A customer support specialist prepares an error ticket for an AI summarization prompt: Customer John Doe (email: john.doe@example.com, phone: 555-019-2834, IP: 192.168.1.45) reports payment failed with card 4532-0150-1234-5678.. Clicking Sanitize & Redact PII detects the PII entities, validates the Visa card number using the Luhn algorithm, and replaces them with surrogate tokens: Customer John Doe (email: [EMAIL_1], phone: [PHONE_1], IP: [IP_1]) reports payment failed with card [CREDIT_CARD_1].. An in-memory mapping registry records the surrogate relationships. The specialist pastes the sanitized text into ChatGPT. When the AI returns a summary referencing [EMAIL_1], pasting the response into the De-Anonymize / Restore panel instantly swaps original identifiers back into place.

Entity detection, Luhn validation, and surrogate mapping run locally in browser memory, ensuring sensitive PII is never exposed to remote logging servers.

Core Architecture & Mathematical Formula

Sanitization: Text ➔ Regex Pattern Scan [Email, Phone, IP, SSN] ➔ Luhn Checksum [Credit Card] ➔ Token Substitution [TOKEN_N]

Scans text for PII patterns; validates credit card numbers via Luhn Mod-10 algorithm; establishes bidirectional surrogate token mapping in volatile browser memory.

Best Practices & Essential Guidelines

  • Sanitize Prompts Before Submitting to Third-Party AI Services: Never paste raw customer medical data, banking numbers, or contact records into public LLM interfaces; surrogate tokenization preserves context while safeguarding identities.
  • Verify Credit Card Validation via the Luhn Algorithm: The sanitizer uses Luhn checksum verification to prevent false-positive redaction of general 16-digit order or tracking numbers that are not genuine credit cards.
  • Maintain the Reversible Surrogate Registry for Response Mapping: Keep your browser session active while chatting with AI models so you can paste the AI's generated response into the De-Anonymize panel to restore original customer names.
  • Customize Redaction Categories Based on Compliance Scope: Toggle specific entity filters (such as disabling IP address redaction if debugging network routing) to tailor the sanitization scope to your specific workflow.

Frequently Asked Questions (FAQ)

What types of PII can the sanitizer detect and redact?
The tool identifies and redacts Email addresses, Phone numbers, IPv4 and IPv6 network addresses, US Social Security Numbers (SSN), and major credit card numbers (Visa, Mastercard, Amex, Discover) validated by the Luhn algorithm.
How does the reverse de-anonymization feature work?
When you redact text, the tool builds a temporary in-memory lookup table mapping each surrogate token (e.g. [EMAIL_1]) to its original value. Pasting AI responses back into the tool replaces surrogate tokens with the original values.
What is the Luhn algorithm and why is it used here?
The Luhn algorithm (Mod-10) is a mathematical checksum formula used by financial institutions to validate credit card numbers. Using Luhn prevents the tool from mistakenly redacting non-card 16-digit numeric serial numbers.
Is any of my redacted PII uploaded or stored on external servers?
No. All regular expression scanning, token replacement, and mapping tables exist solely in volatile browser RAM. Closing the tab immediately destroys all token mappings.