Transparency is another priority. Given the decentralized and trust-based nature of Web3.0, the expert emphasizes ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

Discover how machine learning, a vital aspect of artificial intelligence, learns from data to enhance decision-making and ...

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

Had it been around in 2020, it could have flagged tens of billions before payouts, PRAC tells Congress A fraud-detection AI ...

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

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

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

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 ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...