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
A tool for replacing privacy-sensitive information with synthetically generated alternatives
PEP implementation in Rust
Demo FHIR® implementation guide for pseudonymization operations
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
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