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
Private Input Masked Output - PIMO is a tool for data masking (anonymization, pseudonymization, ...).
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
MasKIT: A tool for pseudonymization and anonymization of Czech legal texts.
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 (*).
A tool for replacing privacy-sensitive information with synthetically generated alternatives
PEP implementation in Rust
Demo FHIR® implementation guide for pseudonymization operations
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