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teodorofodocrispin-cmyk/trustboost-pii-sanitizer

by Various

PII sanitization layer for autonomous AI agent pipelines. Detects and redacts emails, phone numbers,

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teodorofodocrispin-cmyk/trustboost-pii-sanitizer

Added 7 June 2026

Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

A Python-based PII sanitization layer for autonomous AI agent pipelines. It detects and redacts sensitive data such as emails and phone numbers before they reach downstream systems.

Best for

Best for
Developers building autonomous AI agents who need a basic PII filter before data leaves their control.

Use cases

  • Sanitize user inputs before passing to an LLM or external API
  • Redact PII from logs or transcripts in agent workflows
  • Prevent accidental data leaks in automated data processing pipelines

How to use

Install

pip install -r requirements.txt

Tools exposed

  • sanitized_content
  • safety_score
  • risk_category
  • entities_removed
  • redaction_source
  • unmatched_entities

Clients listed in this record (not verified here)

Claude Code, Cursor, Windsurf, ChatGPT

Notes

1 stars on GitHub. Last updated 2026-06-07.

Pros

  • Lightweight Python implementation easy to integrate
  • Focused on a critical security need for agent pipelines
  • Open source with a permissive license

Cons

  • Very early stage with only 1 star and limited community adoption
  • No evidence of support for non-English or structured data formats
  • Lacks documentation on performance or accuracy benchmarks

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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