A privacy and security engineering toolkit: Discover, understand, pseudonymize, anonymize, encrypt and securely share sensitive and personal data: Privacy and security as code.

A curated list of resources related to privacy engineering

A run anywhere database anonymizer

Overview of tools to de-identify, synthesize and work safely with (sensitive) data

A REST service to pseudonymize and anonymize FHIR® resources.

serverless ☁️ 🚀 , pseudonymizing proxy between Worklytics and your workplace 💼 SaaS data sources' APIs. Data Loss Prevention (DLP) 🛡️🔒 and compliance layer deployable to AWS Lambda or GCP Cloud Functions.

Etalab's Lab IA Pseudonymization Demo source code

A simple pseudonymization service. Your data is not shared with the server.

Personal data redaction on images based on FHIR patient resources.

A very fast and resource-efficient pseudonym service.

AWS Blueprint: Automate data masking workflow

A simple ReactJS web app for anonymization and pseudonymization of CSV Data

Automated mirror from https://bitbucket.org/medicalinformatics/mainzelliste/

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

Demo FHIR® implementation guide for pseudonymization operations

Node.js implementation of the Crypto-PAn IP address pseudonymisation algorithm

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

A REST-Service written with Quarkus for generating and converting unlinkable pseudonyms

Script for pseudonymizing specific tags based on XML parser 📃