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Annotated reading on runtime governance for agentic AI in finance. Annotations are our own. Vendor material is labelled.

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MindForge ConsortiumIndustryCited in SAFR

AI Risk Management: Operationalisation Handbook

Practical guidance including agent-specific practices: least privilege, kill switches, searchable logging. SAFR builds on this groundwork.

Audit LogControls RepositoryRegulation & Policy
IMDARegulatoryCited in SAFR

Model AI Governance Framework for Agentic AI (v1.5)

Singapore's governance framing for agents: bounding use cases, limiting access, human oversight, accountability.

Human OversightRegulation & Policy
MindForge ConsortiumIndustryCited in SAFR

AI Risk Management: Executive Handbook

Seventeen considerations across scope, risk management, lifecycle, and enablers. The board-level companion.

Regulation & Policy
Financial Stability BoardRegulatoryCited in SAFR

The financial stability implications of AI

Where the correlated-behaviour concern comes from: concentration in a few AI providers as a systemic risk.

Regulation & Policy
Financial Stability BoardRegulatoryCited in SAFR

Sound practices for responsible adoption of AI (consultation)

The 2026 follow-up, extending the herding and procyclicality concerns.

Regulation & Policy
MASRegulatoryCited in SAFR

Guidelines on AI risk management

MAS's supervisory guidelines on AI risk. Useful for understanding what SAFR is not.

Regulation & Policy
NISTStandardsCited in SAFR

AI Risk Management Framework (AI RMF 1.0)

Map, Measure, Manage, Govern. The widely used US baseline for AI risk.

Regulation & Policy
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OpenSAFR is an independent, unofficial open reference implementation. It is not affiliated with or endorsed by the Monetary Authority of Singapore, BuildFin.ai, or any organisation that contributed to the SAFR whitepaper. SAFR is an industry reference approach, not regulatory guidance. Nothing on this site is legal, regulatory, or financial advice. About OpenSAFR

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