Doorstep International

MAS Guidelines on AI Risk Management: key expectations and timeline

The Monetary Authority of Singapore issued its Guidelines on Artificial Intelligence Risk Management on 7 October 2026. They apply to all MAS-regulated financial institutions and all forms of AI, in a risk-proportionate way. Expectations on board oversight, AI inventories and materiality assessment apply from 7 October 2027; life-cycle controls, capability and infrastructure expectations from 7 October 2028.

The guidelines followed a November 2025 consultation and are among the most detailed supervisory statements on AI in finance. They are useful well beyond Singapore as a practical benchmark.

What do the MAS guidelines expect?

  • Board and senior management oversight with clear roles, risk appetite and frameworks.
  • Identification of AI use, an AI inventory and a materiality assessment for each use.
  • Life-cycle controls: data governance, transparency and explainability, fairness, human oversight, testing, cybersecurity, pre-deployment review, monitoring and change management.
  • Formal independent validation before deployment for use cases of high materiality.
  • Third-party AI managed under the same expectations, including concentration on key providers; if risk cannot be brought within appetite, limit, suspend or replace the service.

How do the MAS guidelines compare with SR 26-2?

TopicMAS Guidelines (Oct 2026)SR 26-2 (Apr 2026)
ScopeAll AI, including generative and agenticModels and non-generative AI; excludes generative and agentic
ApproachRisk-proportionateRisk-based by materiality
InventoryExpectedCommon industry practice
Third partiesExplicit, including concentrationVendor models validated and monitored

Frequently asked questions

Do the MAS guidelines apply outside Singapore?

Legally only to MAS-regulated institutions, but group frameworks may be leveraged if they meet MAS expectations, and many regional institutions use them as a benchmark.

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