Complete AI governance and LLM Evals platform with support for EU AI Act, ISO 42001, NIST AI RMF and 20+ more AI frameworks and regulations. Join our Discord channel: https://discord.com/invite/d3k3E4uEpR

Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)

A beginner-friendly AI Governance & Risk Toolkit — risk register, governance templates, and audit-ready workflows for early-stage AI teams.

Open-source AI agent security framework. Score, harden, and govern your AI agents. Built on DoD/DISA zero-trust principles.

Mapping AI risks and possible solutions

Non-Human Identity Disclosure Standard for Healthcare Voice Workflows

🛡️ Discover and analyze critical vulnerabilities in Meta AI's Instagram Group Chat, ensuring robust security through comprehensive testing and reporting.

Bug bounty report demonstrating prompt injection and command execution vulnerabilities in Meta AI's Instagram Group Chat

Simulation code for Ambiguity-Bearing Outputs (ABO) across Interconnected Systems Environment (ISE). Validates Inter-Systems Coherence & Integrity Layer (ISCIL) containment architecture. Paper: Ayada (2026).

Community-maintained risk register for the use of generative AI in research software engineering.

Public introduction to Culture Key — a human-first AI governance framework for systems approaching scale.

Safe and secure use of AI in research projects

The [SEED] Foundry - The Startup Ethical Economic Design - Decision Matrix for Social Technology Founders

Enterprise-grade governance and policy enforcement for agentic AI systems.

Framework S.H.A.D.E. — Scorecard locale et privacy-first pour diagnostiquer la Shadow AI.

GRC project analysing risks of AI-driven compliance automation and false assurance in third-party risk management (SOC 2 / ISO 27001)

🤖 Streamline AI-assisted development with a governance kit for rules, enforcement, and decision-making, ensuring speed and oversight in your projects.

Control-plane architecture for AI & agentic systems: governance as admission control, decision admissibility, and audit-grade evidence.

Experimental framework for analyzing AI output behavior, hallucination risk and uncertainty before release