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

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

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 ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...

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

Rohith Vegesna is a software engineer specializing in secure, cloud-connected fueling systems, with a strong focus on IoT, real-time monitoring, and cybersecurity.

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

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

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

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