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MAS AI Risk Management Toolkit for Financial Sector

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Published March 20th, 2026
Detected March 20th, 2026
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Summary

The Monetary Authority of Singapore (MAS) has published an AI Risk Management Toolkit for the financial sector, developed in collaboration with industry partners. The toolkit includes an operationalisation handbook and case studies to guide financial institutions in managing AI-related risks.

What changed

The Monetary Authority of Singapore (MAS) has announced the completion of phase two of Project MindForge, resulting in the publication of an Artificial Intelligence (AI) Risk Management Toolkit for the financial services sector. This toolkit, developed with 24 industry partners, provides resources for managing risks associated with traditional AI, generative AI, and emerging agentic AI technologies. It includes an 'AI Risk Management Operationalisation Handbook' with practical guidance aligned with MAS' proposed Guidelines on AI Risk Management, covering scope and oversight, AI risk management, AI lifecycle management, and enablers. The handbook will be periodically updated, and MAS will establish a workgroup under the BuildFin.ai initiative to further develop implementation resources and facilitate knowledge sharing.

Financial institutions should review and adopt the guidance provided in the AI Risk Management Toolkit, particularly the Operationalisation Handbook, to enhance their AI governance and risk management practices. While this is a non-binding toolkit, it reflects MAS' supervisory expectations and will be updated to align with evolving AI technologies and regulatory approaches. The MAS is also reviewing responses to an earlier public consultation on AI risk management guidelines, indicating potential future formalization of these requirements.

What to do next

  1. Review the AI Risk Management Toolkit and Operationalisation Handbook.
  2. Implement AI governance and risk management practices aligned with the handbook's guidance.
  3. Participate in the AI risk management workgroup under the BuildFin.ai initiative for knowledge sharing and capability building.

Source document (simplified)

Decrease font size Increase font size Print this page Media Releases Published Date: 20 March 2026

MAS Partners Industry to Develop AI Risk Management Toolkit for the Financial Sector

Singapore, 20 March 2026…The Monetary Authority of Singapore (MAS) today announced the successful conclusion of phase two of Project MindForge, which culminates in the publication of an Artificial Intelligence (AI) Risk Management Toolkit for the financial services sector. This toolkit, developed collaboratively by a consortium of 24 leading banks, insurance companies, capital market firms, and other industry partners, provides financial institutions with resources for managing AI-related risks across traditional AI, generative AI, and emerging agentic AI technologies.

2 The MindForge AI Risk Management Toolkit features an ‘ AI Risk Management Operationalisation Handbook ’ that provides detailed, practical guidance on implementing AI risk management frameworks. This handbook is accompanied by a supplement that features a compilation of AI case studies that document the experiences and lessons learned from financial institutions. These examples offer insights into the challenges, approaches and risk management practices when using AI in different organisational contexts.

3 MAS is presently reviewing responses to an earlier public consultation on a set of Guidelines on AI Risk Management. The Operationalisation Handbook is organised into four sections, which are aligned with MAS’ proposed Guidelines:

a. Scope and oversight – Establishment of AI governance framework, and clarity of roles and responsibility for AI oversight.
b. AI risk management – Identification of AI usage, risk materiality assessment, and AI inventorisation through organisational systems, policies and procedures.
c. AI lifecycle management – Implementation of controls covering the entire lifecycle of AI use.
d. Enablers – Development of organisational capabilities, infrastructure, and resources to enable ongoing responsible AI use and risk management.

4 The Operationalisation Handbook will be periodically updated as the use of AI in the industry matures and to reflect MAS’ supervisory expectations. To facilitate broader industry adoption of AI risk management practices and solutions, MAS will establish an AI risk management workgroup comprising MindForge consortium members and other industry practitioners under the BuildFin.ai initiative to develop implementation resources, facilitate knowledge sharing, and build capabilities and frameworks for managing risks from newer AI technologies such as agentic AI.

5 Kenneth Gay, Chief FinTech Officer, MAS said, “The development of the MindForge AI Risk Management Toolkit, including the release of the Operationalisation Handbook, marks a major step forward in our journey to ensure the responsible adoption of AI in finance. We are committed to fostering a culture of continuous engagement and strengthening of AI governance and risk management practices across the industry. The BuildFin.ai programme also serves as a foundation for our next phase of collaboration in AI risk management, to bolster the safe adoption of AI across the financial industry.”


  • Annex A List of MindForge Consortium Members (Phase Two) (183.3 KB)
  • Annex B Quote Sheet (175.4 KB)

  • The 10th edition of the Singapore FinTech Festival concluded on 14 November, marking a decade of global collaboration and innovation aimed at building a more open, connected and inclusive financial ecosystem.

  • At the Singapore FinTech Festival 2025, Mr Chia Der Jiun, Managing Director of MAS, spoke about two transformative themes as we look ahead to the next 10 years: fostering responsible AI adoption and building a tokenised future.

  • Announced at the Singapore FinTech Festival, the new Partnership will support safe and responsible AI innovation. This will enable AI-in-Finance solution providers in Singapore and AI innovators in the UK to scale and operate best-in-class AI solutions across both markets more effectively.
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Named provisions

Scope and oversight AI risk management AI lifecycle management Enablers

Source

Analysis generated by AI. Source diff and links are from the original.

Classification

Agency
MAS
Published
March 20th, 2026
Instrument
Guidance
Legal weight
Non-binding
Stage
Final
Change scope
Substantive

Who this affects

Applies to
Banks Financial advisers Fund managers Insurers
Industry sector
5221 Commercial Banking 5231 Securities & Investments 5241 Insurance
Activity scope
AI Risk Management Generative AI Usage Agentic AI Usage
Geographic scope
Singapore SG

Taxonomy

Primary area
Financial Services
Operational domain
Compliance
Compliance frameworks
NIST CSF
Topics
Artificial Intelligence Risk Management

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