High-performance JSON masker library with no runtime dependencies

Deidentify people's names and gender specific pronouns

A Keycloak provider that enables encryption of user attributes that contain PII data to be automatically encrypted upon storing to database and then decrypted upon loading from database

Anonymize / mask personal information before sending prompts to chat AI (like ChatGPT provided by OpenAI)

PII Anonymizer service based on python with FastAPI

JSON Data Masking is a library for .NET Core applications that simplifies the masking process of PII/sensitive information.

World's fastest JSON filter for the JVM

Logging Redactor is a Python library designed to redact sensitive data in logs based on regex patterns and / or dictionary keys.

An AI-powered, but model-agnostic name-entity recognition toolkit.

REDACT is an info-sec tool that automates redaction with minimal user interaction. It utilizes spaCy NLP alongside BeRT model through TensorFlow and Hugging face Transformers.

Extensible PII pseudonymization framework for CSIRTs. Features OCR, technical entity recognition, and structure-preserving masking (JSON/XML) to balance GDPR compliance with threat analysis utility.

A Sentry proxy with PII scrubbing and tenant enrichment for on-premise deployments.

TypeORM PII Compliance Service: Cascading Personally Identifiable Information Disposal

Piiranha Server - PII Detection and Masking Service

A developer-first PII masking toolkit for TypeScript and JavaScript. Detect, mask, tokenize, and anonymize personally identifiable information across structured data, freeform text, CLI pipelines, and React UIs.

PII-Filtered Secure RAG System

Self-hosted AI security proxy. Redact PII, block prompt injection, route to any LLM provider. OpenAI-compatible.

PII Eraser usage examples, sample config files and reference cloud deployments

Production-ready PII detection and anonymization service using Microsoft Presidio. Runs with Docker Compose, no external APIs required.

hyacinth scans plain text files for common forms of personally identifiable information (PII) — including emails, phone numbers, SSNs, DOB, Credit Card numbers, and physical addresses — and redacts them securely using regex-based pattern matching. Designed for developers who need data hygiene without heavy dependencies.