About a-team Marketing Services

A-Team Insight Briefs

Singapore Regulator Frames AI Risk Reduction Guidelines

Subscribe to our newsletter

The Monetary Authority of Singapore (MAS), the city-state’s financial regulator, has issued a consultation paper proposing guidelines on artificial intelligence risk management for financial institutions.

The proposals apply to all financial institutions and set out expectations on oversight of AI risk management, systems, policies, procedures, life cycle controls and capabilities. These guidelines follow MAS’ supervisory review of banks’ AI use in 2024 and discussions with institutions.

Ho Hern Shin, Deputy Managing Director, said: “The proposed Guidelines on AI Risk Management provide financial institutions with clear supervisory expectations to support them in leveraging AI in their operations.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Best practices for data lineage and metadata management to support evolving data operations

Data lineage is key to tracking data from source to consumption and any changes to the data along the way. Metadata management provides governance and control, ensuring high quality, consistent and accurate data across a financial institution. It can be used at all levels of an organisation from the C-suite to data stewards, analysts and...

BLOG

Synechron-Cognition Collaboration Seeks to ‘Shift Paradigm’ in Software Creation

The race to harness artificial intelligence to create data products and software for financial institutions is at the heart of a collaboration between consultancy Synechron and technology developer Cognition. New York-headquartered Synechron, which has longstanding expertise in providing software solutions that financial organisations use to transform their operations, has embedded Cognition’s Devin agentic engineering platform...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...