MAS moves to rein in autonomous AI agents in finance

The Monetary Authority of Singapore (MAS), the city state’s central bank and financial regulator, has joined forces with major financial institutions and FinTechs to release a white paper aimed at keeping AI agents in finance operating within safe limits.

The paper, called Safeguards for Agentic Finance at Runtime (SAFR), lays out an industry-built framework designed to let AI agents perform financial tasks in a manner that is safe, secure and dependable. It has been produced under BuildFin.ai, the MAS programme that backs the responsible creation and rollout of AI tools across the financial sector.

The push comes as AI agents take on more autonomous work at a pace that makes hands-on human oversight impractical. In response, firms require real-time controls that keep agent behaviour inside the mandates, policies and risk limits they have defined. SAFR answers this with a series of governance checkpoints that check and log each action an agent proposes before that task is carried out.

The framework extends the AI Risk Management toolkit created through MAS’ Project Mindforge, concentrating on how protections can be put into practice at the moment an agent acts. The white paper maps out how measures such as policy bound execution, real time validation, auditability and interoperability can be woven into system operations, giving institutions the confidence to deploy agents consistently.

Industry participants have already tested SAFR in several settings. These include agent-assisted payments and treasury work, where agents handle routine transactions inside set mandates to cut friction and lift efficiency; wealth management and advisory processes, where agents examine documents and produce structured assessments within tightly defined task limits to speed up compliance reviews; and client engagement, where agents create insights and draft materials within approved content boundaries so staff can serve clients more productively.

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