The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

“Fraud detection today is about precision, not just protection. The ability to differentiate legitimate customers from ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase, banks require ...

Moreover, data retrieved directly from external systems may comprise raw data that has not been enriched (for example, cleaned and categorized) and may therefore be less reliable. This data may lead ...

Plano, TX, USA, December 17th, 2025, FinanceWireCharge 1, a leading online credit card processing and payment gateway ...

Artificial intelligence (AI), like any technology, can be misused. Malicious actors intent on committing fraud can use AI to create more realistic deceptions at a much faster clip. How has the threat ...

Oscilar today announced that Payoneer ? (NASDAQ: PAYO), the global financial technology company powering business growth across borders, has selected it to help modernize the company's fraud and risk ...

Milliman, a global leader in actuarial and healthcare analytics, is proud to announce it has been selected as a finalist in ...

Among the richest signals lenders can use to assess the authenticity of loan applications are artifacts in submitted documents — changes to fonts, say, or digital white-out used to cover and replace a ...