This resource is a versioned framework published by UC Berkeley’s Center for Long-Term Cybersecurity. It provides targeted risk-management guidance for developers of general-purpose AI and foundation models and aligns with the NIST AI Risk Management Framework.
Critical AI Security Guidelines v1.1 is a practitioner-driven, point-in-time guide developed by SANS-affiliated experts and contributors from leading cybersecurity and AI organizations. It presents hands-on security recommendations for teams developing generative and LLM-based models.
The Foundational Artificial Intelligence Risk Assessment Framework (FAIRA) is a public-sector risk tool published by the Queensland Government in 2024. It’s designed to help government teams assess AI systems against legal, ethical, technical, and societal risks across their lifecycle.
Curated Library of AI Governance Resources
