The Monetary Authority of Singapore (MAS) has wrapped up the second phase of Project MindForge, leading to the launch of a new AI Risk Management Toolkit for the financial industry.
Created with input from 24 banks, insurers, and other industry players, the toolkit is designed to help firms handle risks tied to traditional AI, generative AI, and more advanced agentic AI systems.
At the heart of the package is the AI Risk Management Operationalisation Handbook, which outlines practical guidance for firms looking to develop their own AI governance and safety frameworks.
The handbook is organised around four key pillars. These begin with oversight, aimed at establishing clear accountability and responsibilities for AI governance.
It also addresses risk management, helping firms map where AI is used and assess the level of risk involved, along with lifecycle management, which focuses on putting safeguards in place throughout every stage of AI deployment.
The fourth pillar centres on enablement, covering the infrastructure and workforce capabilities needed to support responsible AI adoption.
The toolkit also features real-world case studies so financial institutions can learn from the experiences, challenges, and successes of others in the sector.
MAS said it will launch a new workgroup under the BuildFin.ai initiative to keep the toolkit current as technology evolves and to promote knowledge-sharing on emerging AI risks.
Kenneth Gay, MAS’ Chief FinTech Officer, said the toolkit marks an important milestone in promoting the safe and responsible use of AI across the financial sector.
The handbook will be refreshed from time to time to keep pace with technological advances and regulatory expectations.
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