AI Risk Management: Operationalisation Handbook
Practical guidance including agent-specific practices: least privilege, kill switches, searchable logging. SAFR builds on this groundwork.
Annotated reading on runtime governance for agentic AI in finance. Annotations are our own. Vendor material is labelled.
Practical guidance including agent-specific practices: least privilege, kill switches, searchable logging. SAFR builds on this groundwork.
Singapore's governance framing for agents: bounding use cases, limiting access, human oversight, accountability.
Seventeen considerations across scope, risk management, lifecycle, and enablers. The board-level companion.
Where the correlated-behaviour concern comes from: concentration in a few AI providers as a systemic risk.
The 2026 follow-up, extending the herding and procyclicality concerns.
MAS's supervisory guidelines on AI risk. Useful for understanding what SAFR is not.
Map, Measure, Manage, Govern. The widely used US baseline for AI risk.