High-performance JSON masker library with no runtime dependencies
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Updated
Jun 12, 2026 - Java
High-performance JSON masker library with no runtime dependencies
🕵️ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting
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)
Self-hosted AI security proxy. Redact PII, block prompt injection, route to any LLM provider. OpenAI-compatible.
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
Comparison case study between Gliner V2 vs OpenAI Privacy filter model for PII Redaction
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.
Piiranha Server - PII Detection and Masking Service
TypeORM PII Compliance Service: Cascading Personally Identifiable Information Disposal
PII Eraser usage examples, sample config files and reference cloud deployments
A Sentry proxy with PII scrubbing and tenant enrichment for on-premise deployments.
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.
Reversible PII anonymization for LLM pipelines: mask names, emails and bank details before text reaches a cloud LLM, then restore them in the response. Local-first, encrypted vault, 6 languages. Python, Apache-2.0.
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