Launching a digital wallet today involves far more than enabling payments. As the digital wallet trends 2026 show high adoption of digital wallets, so do the challenges like increasingly sophisticated ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

Fraud starts earlier than most teams model. Many fraud programs still centre transaction monitoring, but attackers can gain a meaningful advantage earlier, at account creation and ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

Read more about Artificial intelligence boosts financial forecasting accuracy in banking sector on Devdiscourse ...

Today’s attackers move from account takeover to mule networks in hours, exploiting the gaps between fraud and AML functions.

Financial Institutions Prioritize Speed, Accuracy, and False Positive Reduction with AI Solutions. AACHEN, Germany and ...

Although AI has introduced a new threat in the world of payments fraud, it has also emerged as the analytical backbone of next-generation fraud mitigation systems.

The survey polled 88 financial crime professionals, confirm that AI is no longer a fringe technology but a foundational element ...

How do we trust AI? Know how blockchain ensures AI data integrity, prevents data poisoning, and creates immutable audit trails for machine learning models.

AI-based on-chain oracles can provide real-time protection against exploitation as they can monitor transactions in real-time ...