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The governance excuse regulators won’t accept anymore
A $200m enforcement case in the DIFC did not start with a rogue trader or a fraud scheme. It started with a board that...
Singapore and Thailand move to close digital fraud gaps
The Monetary Authority of Singapore (MAS) has signed a Memorandum of Understanding with the Bank of Thailand (BOT) aimed at bolstering cybersecurity cooperation and...
Can banks trust AI agents? MAS unveils SAFR framework
The Monetary Authority of Singapore (MAS), the city state's central bank and financial regulator, has joined forces with major financial institutions and FinTechs to...
Why smart regulators are turning to AI benchmarking
Financial regulation has always required comparison, but the tools to do it well have never kept pace with the complexity of modern markets. As...
MAS launches AI proof-of-value to curb bank scams
The Monetary Authority of Singapore has announced a collaborative initiative with the country's banking sector, the Government Technology Agency of Singapore, and the Singapore...
SGX-Nasdaq dual listing bill moves forward in Singapore
Singapore's parliament introduced legislation that could reshape how companies dual-list across borders and expand retail investor access to IPO documents.
According to Business Times, the...
Why regulators now demand enterprise-wide risk assessments
There is a fundamental shift is under way in how regulators view financial crime risk assessments.
Where once they focused primarily on customer onboarding, screening,...
MAS releases AI risk management toolkit for finance
The Monetary Authority of Singapore (MAS), Singapore's central bank and financial regulatory authority, has released an AI Risk Management Toolkit as part of the...
MAS sets climate transition risk guidelines for FIs
The Monetary Authority of Singapore (MAS) has released new supervisory guidelines outlining how financial institutions should strengthen their transition planning practices to address environmental...
Compliance-first AI: the future of AML
Financial institutions are increasingly aware that artificial intelligence (AI) could transform anti-money laundering (AML) operations. Yet adoption remains cautious.
This hesitancy stands in sharp contrast...
