What happens to your heart when it remains wide open during a surgery? In other words, how to manage critical risks when banks go through core banking transformations? Banking transformations are ...

It’s a basic rule in data science: when precision and accuracy are required for fraud prevention, make sure you choose the algorithm appropriate to a bank’s data sets and needs. A complex algorithm ...

Banks running fraud-prevention software that incorporates collective artificial intelligence can cut fraud monitoring costs by 77 percent, helping them meet new regulations efficiently and ...

Our software helps banks and telcos detect fraudulent activity related to mobile wallets and ATMs, and has even helped catch the fraudsters red-handed, writes Bernard Rono Mobile wallet fraud is ...

As fraudsters increasingly use fake websites, emails, invoices and companies to defraud the public, banks should look at the record of AI to help them protect themselves and their customers, writes ...

The new virtual banks about to set up shop in Hong Kong need machine-learning technology to protect them, their customers and the regulator from the ever-changing threats posed by cyber-fraud, writes ...

The final part of our series looking at regional fraud offers a global overview highlighting the differences – and similarities – in the threats that banks face today Fraud is a global problem ...

The widespread use across Asia of mobile phones, m-banking and payment apps has left consumers particularly vulnerable to fraud. Financial services providers in the region must ramp up investment in ...

The rapid growth of mobile banking through phones and tablets reflects the central role that these devices now play in the lives of consumers around the world. It also highlights some of the growing ...

For a number of years now, financial institutions have depended on big data technology to keep business ticking. Top use cases include high-frequency trading, risk management and regulatory ...