Community-driven behavioral reliability benchmark for LLMs. 231 probes across 19 modules, deterministic scoring, perplexity correlation, layer sensitivity mapping, quant method capture, hardware-stratified community rankings. Every test contributes to the community dataset.

Open-source governance and compliance framework for AI agents — cross-provider policy enforcement, audit trails, and standards mapping across OWASP MCP Top 10, NIST AI RMF, and EU AI Act

W3C DID Method Specification for TRAIL — Trust Registry for AI Identity Layer

Agent Compliance SDK - trust your agents in production. Turn what your agent handles into the controls you need. Data classification driven agent runtime security controls. Scale compliance to your agents automatically.

ACR Control Plane: runtime control & governance for agentic AI (six-pillar enforcement).

This project is for our research into quantifying the Trust Vulernability Gap (TVG) of user trust and vulnerability in LLM-led social engineering.

Fraud risk scoring engine for autonomous AI agents. Detects behavioral anomalies, delegation abuse, and coordinated agent activity.

Inverse Turing test for AI agents. Procedurally generated challenges that prove substrate, autonomy, and intent — things a human can't fake. Self-hosted, open source, MIT licensed.

learning path for AI trust.