Three Steps To MindForge Compliance

Your time to comply with MAS’s AI risk management expectations is running out. The only way to gain a competitive advantage is to act quickly.

Effective AI risk management relies on data governance. Unfortunately, MAS’s own research finds that too many Singaporean financial institutions fall short.

This how-to guide helps you act now to meet the requirements outlined in the ‘MindForge Operationalisation Handbook’.

With this guide, you’ll learn how to:

• Get ahead of MindForge and upcoming international regulations.

• Enable AI risk management built on a data governance foundation.

• Catalog which AI models and agents are using which data. 

• Build fit-for-purpose data products for AI consumption.

• Deploy governed agents equipped with lineage, quality, and version traceability.