Generative AI is now at the centre of fraud strategy in digital banking. What began as an efficiency tool has quickly become a frontline defence, as banks are forced to confront a new reality: fraud ...

The fraud problem endures, but advanced fraud prevention tools from the biometrics and digital ID sector can help stamp out attacks.

Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...

A new class of malware that uses AI to commit ad fraud has been discovered, and it can take over your screens without your ...

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements.

Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

Abstract: Fraud in financial transactions is one of the fast growing problems. Digital payments are increasing in number and complexity. This makes it important to find ways to detect fraud early and ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...