Sai Vamsi Gummadi's AI fraud detection platform processes millions of transactions with Spark/Kafka/XGBoost—75% fewer false ...

The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live stream of the virtual screen.

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

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Money laundering is on the rise, analysts say, as criminals exploit new technologies like artificial intelligence, crypto, ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

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: Context and Justification: As financial services undergo accelerated digitalization, the expansion of electronic transactions within digital wallets increases vulnerabilities to fraud, ...

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