Reports

Proposes governance extensions to the NIST AI RMF 1.0 for autonomous AI agents — introducing four extension categories across Govern, Map, Measure, and Manage to establish oversight structures proportionate to agent autonomy levels and real-world consequences.

Examines NIST's emerging framework for securing autonomous AI agents, with red-teaming findings on novel attack techniques and practical recommendations for enterprises implementing agent security controls aligned with forthcoming compliance requirements.

The Monetary Authority of Singapore's Project MindForge handbook provides financial institutions with practical guidance on operationalising AI risk management — covering governance structures, model risk controls, and accountability frameworks for deploying AI in financial services.

The Model AI Governance Framework (MGF) for Agentic AI gives organisations a structured overview of the risks of agentic AI and emerging best practices in managing these risks.