Open Source Static Scanning tool to detect data flows in your code, find data security vulnerabilities & generate accurate Play Store Data Safety Report.
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Updated
Nov 10, 2025 - Python
Open Source Static Scanning tool to detect data flows in your code, find data security vulnerabilities & generate accurate Play Store Data Safety Report.
282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act.
A deterministic privacy boundary between your data and AI.
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.
Open-source description language for privacy to declare data types and data behaviors in your tech stack in order to simplify data privacy globally. Supports GDPR, CCPA, LGPD and ISO 19944.
Offline PII firewall for AI agents and LLM apps: fast local detection and redaction, Claude Code hook, LiteLLM guardrail. Zero network calls, one dependency.
This repository hosts a persona based privacy threat modeling solution called Models of Applied Privacy or MAP.
Noisegate: a differential privacy gateway that lets an untrusted LLM agent query sensitive data over MCP (Model Context Protocol), with a formal guarantee no individual's record can leak even if the agent is adversarial - enforcement lives in trusted code below the model, validated by a runnable attack gallery.
Overview of tools to de-identify, synthesize and work safely with (sensitive) data
🌹 Thorn is an open-source, data privacy vault to store and manage PII in a fully compliant manner.
Mysto privacy engineering toolkit for de-identifying data
Free Play Store Data Safety Generator. Privado CLI scans & monitors your repositories to build up privacy-transparency reports & finds privacy issues.
Privacy as Code for your CI and runtime environment. This repository is a Quickstart to show how Fides can be used in a CI/CD pipeline.
generated portfolio by coursed in privacy engineering udacity
Privacy and log encryption. Enterprise-grade encrypted log processing system with Zero Trust architecture. AES-256-GCM encryption, PII redaction, tamper-evident audit trails. Python/FastAPI/Kubernetes. GDPR/HIPAA compliant.
Open-source Codex skill package for CNIL-based GDPR privacy engineering guardrails.
The Peter Horvath Improvement Proposal repository
Per-Query Role-Based Data Minimization in GraphQL
The Kodex documentation repository.
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