The Privacy Firewall for LLMs

AWS Blueprint: Automate data masking workflow

Personal data redaction on images based on FHIR patient resources.

The Personal Data Pseudonymizer is a Python script designed to anonymize sensitive personal information in text. It identifies and pseudonymizes named entities such as people's names, locations, phone numbers, and email addresses by replacing them with asterisks (*).

Redactify is an efficient data redaction tool that secures sensitive text using advanced NLP and rule-based methods. It combines transformer-based NER, regex, and Presidio analysis to detect and mask personal information through full redaction or partial masking—ensuring compliance while preserving data utility.

A tool for replacing privacy-sensitive information with synthetically generated alternatives

Data masking can be used for Anonymization or Pseudonymization to comply with GDPR, Paper Redaction and Data Preprocessing to feed NLP models.

Recognize and pseudonymize named entities in emails

Script for pseudonymizing specific tags based on XML parser 📃