The open-source diagnostic for AI misalignment. 32 tests across fabrication, manipulation, deception, unpredictability, and opacity. Provider-agnostic. Runs against OpenAI, Anthropic, Bedrock, Azure, Gemini, and more. Letter grade in under 5 minutes, content-addressed manifest for bit-identical replay. Built by iMe.

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

The Universal Governance, Risk, Compliance (GRC) Operating System with Integrated Security for Agentic AI, Non-Human Identities, and Swarm Governance. AI SAFE² + AI Sovereignty Maturity Model (AISM) [Dual License: MIT + CC-BY-SA]

Static security scanner for AI agents. Catches prompt injection, runaway loops, missing oversight, and compliance gaps across 21 frameworks. Use from Claude Code, Cursor, ChatGPT (MCP), the CLI, or GitHub Actions.

Zero-dependency TypeScript SDK for AI agent governance: policy enforcement, injection detection, tamper-evident audit, and standards mapping (EU AI Act, OWASP, NIST, ISO 42001)

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

NIST AI RMF applied to a real research cluster. We govern our own AI tools, document decisions, and share templates. Practical governance for small teams.

nod is a platform-agnostic, rule-based linter that ensures AI/LLM specifications contain critical security and compliance elements before any agentic or automated development begins.

The most comprehensive open-source mapping of OWASP GenAI risks to industry frameworks - 65 mapping files, 25 frameworks, 1,514 controls, 114 incidents, ML classifier pipeline. Source lists: LLM Top 10, Agentic Top 10, DSGAI 2026. EU AI Act, NIST, ISO, SOC 2, FedRAMP, DORA, OT/ICS, MITRE ATLAS.

Compliance and Audit Framework for Healthcare Voice AI

A practical implementation toolkit for ISO/IEC 42001:2023 AI Management Systems — gap assessment checklists, risk register templates, controls mapping, and implementation roadmap for GRC professionals and AI governance practitioners.

Policy-as-Code guardrails for ML and LLM systems: OPA/Kyverno policies, compliance mappings, signed bundles, evidence trails, and plugin index.

Model evaluations for Responsible AI: We evaluate frontier LLMs for responsible AI safety and robustness, map results to the NIST AI Risk Management Framework, and publish the findings to a public dashboard. We run a structured adversarial benchmark against models from Anthropic, OpenAI, and Google, scores them using a deterministic judge (Haiku).

Operationalizes PM insights through working agents grounded in GRC best practices. Provides prompt libraries and tools to identify governance and compliance risks before scaling programs, analytics initiatives, or AI systems.

A practical guide to AI ethics and responsibility, built from a real-world incident — and from the body of work that came after.

Comprehensive, auto-updating literature review of GenAI & LLM security research, standards, tools, and resources. 100+ curated entries with interactive webapp.

Self-hosted AI Model Governance & Inventory for Government & Enterprise. Aligned with NIST AI RMF & EU AI Act.

A free visual learning library for ISO/IEC 42001:2023 - the international standard for ISO/IEC 42001:2023 Artificial intelligence (AI) Management Systems. Reference cards, memory cards and deep dives.

Open governance framework for autonomous AI agents. Classify decisions. Enforce policies. Prove compliance.

White-paper & talk covering benefits, risks, and mitigation frameworks for AI and LLMs in cybersecurity (NIST AI RMF, OWASP Top 10 for LLMs, MITRE ATLAS, real-world case studies)