A curated list of resources related to privacy engineering

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

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/

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

Demo FHIR® implementation guide for pseudonymization operations

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

PEP implementation in Rust

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

MasKIT: A tool for pseudonymization and anonymization of Czech legal texts.