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 ...

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 ...

Gibberish Detection analyzes the text of an email address to classify the likelihood of randomness or automation using ...

In a market accelerating toward instant payments and open banking, a siloed approach to fraud detection is no longer viable.

Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...

Standard Chartered Ventures and Fujitsu Limited have announced the roadmap for their quantum-powered project, Qubitra ...

Research from American Banker finds that bankers are still extremely worried about fraud, but hope that raising budgets for ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.

The transaction monitoring market is expanding as financial institutions adopt AI- and analytics-driven solutions for real-time fraud detection, with the U.S. segment growing from USD 4.33 billion in ...