IBM/ai-privacy-toolkit

Library for training machine learning models with privacy for training data

A tool box for MindSpore users to enhance model security and trustworthiness.

282+ structured privacy & data protection skills for AI agents. GDPR, CCPA, EU AI Act, HIPAA, LGPD, PIPL, DPDP Act.

This is an open-source tool to assess and improve the trustworthiness of AI systems.

Curated list of tools, frameworks, and resources for running, building, and deploying AI privately — on-prem, air-gapped, or self-hosted.

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.

Open-source EU AI Act compliance scanner. 51 checks across Articles 9-12, 14-15. Drop-in trust layers for LangChain, CrewAI, AutoGen, OpenAI. Local-first, no data leaves your machine.

EU AI Act Compliance Tool - Risk classification and bias testing

Diffprivlib: The IBM Differential Privacy Library