Defense Against the AI Dark Arts: Threat Assessment and Coalition Defense
The United States and its partners must get ready for what the worst people in the world might do with the most advanced AI models.
AI Governance Library: all resources
Every reviewed AI governance resource in one place — reports, standards, guidance and regulation.
Contracting with AI Vendors – A Practical Guide for Lawyers
AI vendor contracts are not just SaaS agreements… they raise issues… who owns the output, whether your data trains someone else’s model… and what happens when the AI gets it wrong.
Comprehensive Guide to ISO 42001
ISO 42001 describes how to assess those risks, and how to introduce the right AI controls — in other words, it describes how to use AI governance to build trustworthy AI systems.
Artificial Intelligence for Small Business: Managing Cyber Security Risks
Cloud-based AI gives affordable access to advanced tools… Small businesses must take proactive steps to protect data, customer privacy and business systems.
AI Verify Testing Framework (for Traditional and Generative AI)
AI Verify testing framework aims to help companies assess their AI systems against 11 internationally recognised AI governance principles… Each item consists of outcomes, processes, and evidence to validate implementation.
AI Security Audit Checklist
This checklist is designed to be a definitive, testable reference for IT auditors and AI security professionals… structured into ten key domains, with each control mapped to mandatory global standards and frameworks.
AI RMF 2026 MEASURE Function Complete Framework Crosswalk
The MEASURE Function provides the empirical evidence base for AI risk management by defining metrics, assessing data quality, evaluating system performance, and implementing continuous monitoring.
AI Risk Management Framework (AI RMF 2026) — GOVERN Function Procedural Manual & Implementation Guide
The GOVERN Function establishes and nurtures a culture of AI risk management… defining structures, policies, and accountability mechanisms across the AI lifecycle.
AI Maturity Framework – A self-positioning guide for public administrations
The AI Maturity Framework supports this need by offering a comprehensive, systematic approach to assessing an organisation’s readiness for AI.
AI Governance Vendor Report 2026 (IAPP)
AI governance is not a single function, discipline or technology… organizations often use AI governance vendors to augment work that they cannot do on their own or provide an external perspective.
Agentic AI Risk-Management Standards Profile
A structured profile mapping risk management practices for agentic AI systems, aligning lifecycle controls, governance mechanisms, and technical safeguards with emerging standards and real-world deployment risks.
Achieving Effective Internal Control Over Generative AI (GenAI)
GenAI is arriving in boardrooms… compresses decision cycles… but also introduces risks — hallucinations, prompt-injection attacks, opaque reasoning… that can threaten the reliability of operations.
A Practical Guide for Secure MCP Server Development
MCP servers act as bridges between AI assistants and external tools… any security gap could allow attackers to manipulate those AI assistants, steal sensitive information, or compromise downstream systems.
White Paper on AI Governance: Leadership insights and the Voluntary AI Safety Standard in practice
“Set up the required accountability processes to guide your organisation’s safe and responsible use of AI…” (Guardrail 1), alongside a practical, board-facing framing of risk, compliance, and culture change.
When AI Builds AI: Findings From a Workshop on Automation of AI R&D (CSET Workshop Report, January 2026)
Frontier AI companies already use their best models to help build better ones. This workshop report maps competing “automation trajectories,” proposes indicators to track, and sketches policy options—especially transparency—to reduce strategic surprise.
Voluntary AI Safety Standard (Australia) — August 2024
The standard consists of 10 voluntary guardrails that apply to all organisations throughout the AI supply chain… helping organisations to benefit from AI while mitigating and managing the risks.
Understanding 42001 – Guide for Australian Business
A practical, policy-oriented guide explaining why AS ISO/IEC 42001:2023 matters, how AI management system standards work, and how certification can support trustworthy, responsible AI adoption across Australian organisations.
The State of AI Security and Governance (CSA & Google Cloud, 2025)
“Organizations with established AI governance are accelerating adoption with confidence, while the rest are moving quickly but without the structures needed to manage emerging risk.”
The NSW AI Assessment Framework (2024)
A mandatory, lifecycle-based self-assessment framework guiding NSW Government agencies in the safe, ethical, and responsible design, deployment, and use of AI systems, with a strong focus on elevated-risk and generative AI use cases.
The Mechanisms of AI Harm: Lessons Learned from AI Incidents
This issue brief analyzes over 200 real-world AI incidents to identify six recurring mechanisms through which AI systems cause harm, showing that failures often emerge from governance, context, and human–AI interaction rather than model capability alone.
The 2025 Responsible AI Governance Landscape: From Principles to Practice
“The year 2025 marked the definitive end of the ‘AI ethics debate era’ and the beginning of the ‘AI governance execution era.’ Abstract principles collided with concrete legislation, litigation, and boardroom accountability.”
The 2025 Peregrine Report – 208 Expert Proposals for Reducing AI Risk
“Say you are unconstrained by money, and can get all the talent in the world – what are the top interventions that will have a substantial impact over the next two years?”
Supervision of Artificial Intelligence in Finance: Challenges, Policies and Practices
“Financial supervision therefore serves as the practical enforcement mechanism of financial regulation, ensuring that policies translate into effective oversight and resilient financial markets.”
Strengthening AI Governance Through Techno-Legal Framework
“AI is already reshaping our polity, our economy, our security and even our society. AI is writing the code for humanity in this century.”
