The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

Machine learning plays a critical role in fraud detection by identifying patterns and anomalies in real-time. It analyzes large datasets to spot normal behavior and flag significant deviations ...

Despite all of the safeguards and fraud detection systems in place, Capital One failed to monitor or detect the unauthorized activity.

Banks should take a page from the health sciences' playbook and use artificial intelligence to "nudge" consumers away from ...

Fraud in medical insurance often occurs in organized networks, where multiple individuals coordinate claims to resell ...

Petra Niedermayerova and Lucas Rozendaal contributed to this report. Both government agencies and whistleblowers are ...

The agency said it is looking for innovative solutions that can “uncover unusual patterns, anomalies, or trends that may ...

Machine learning techniques, such as those using XGBoost algorithms, have been effectively employed to detect and prevent technological fraud by recognizing patterns in large datasets and ...

As the perpetrators of accounting fraud become ever more sophisticated in their techniques, fraud detection needs to step up its game. Thankfully, a group of researchers have devised a new machine ...

However, some credit card companies still recommend providing a courtesy notice before you travel. While forgetting usually isn't a major issue, it can help avoid the inconvenience or embarrassment of ...

Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...