Banks need to take a wide view when assessing the true return on their investment in fraud-mitigation software, writes Sebastian Aldeco

The central bank of Singapore says a rules-based approach to cyber-risk management is no longer sufficient and that banks need to employ behavioral analytics and machine learning to protect their ...

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 lack of a robust anti-fraud culture across Africa is responsible for the continent’s position as the number one targeted region for banking fraud Five of the top 10 countries most affected by ...

Whether it’s rogue relationship managers in private banking, professional cyber criminals from Eastern Europe or banks’ inability to spot contactless fraud, Europe has its own specific set of ...

The new acronym on the block is KYT – know your transaction. It uses contextual analysis to spot suspicious behavior, reducing false alerts and improving the customer experience, writes Etienne ...

Digital banking fraud, machine learning, and digitization – NetGuardians’ Mine Fornerod interviews our Data Scientist Jérôme Bovay on the potential and challenges of machine learning technology and ...

Two years on from its first meeting and NG|Club has become a trusted forum for sharing experiences of fraud, giving banks a broader view of the threats they confront. For NetGuardians, these sessions ...