AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

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

Digitalisation has rapidly changed the face of industry and business. Businesses have increasingly integrated modern technologies into their operations to improve real-time activity. However, ...

AI promises to enhance routing, reduce fraud, and improve straight‑through processing (STP), but it cannot function safely when the underlying payment architecture is opaque. Legacy payment ...

The financial consequences affect nearly everyone: 99% of organizations report fraud losses from AI-enabled attacks in the past year, with an average of $414,000 per organization. One-third of ...

AI is a particularly powerful tool in the hands of fraudsters. Fraud powered by generative AI is only limited by the criminal's imagination. When it comes to preventing financial fraud, many experts ...

Financial institutions lose billions annually to fraud while legitimate customers abandon transactions due to false positives. This costly paradox reveals why the next wave of AI innovation in banking ...

60 percent of credit risk and fraud executives surveyed worldwide say AI and Decision Intelligence are their top planned investments for the year ahead. This is among the key findings of a new survey ...

AI pentesting grows with chatbot adoption, with free Arcanum labs and Docker setups, a practical path for beginners. Ethical ...

Phase 4 extension of SimoN platform will enhance tax compliance capabilities and provide critical support for the agency's modernization and predictive analytics goals. The SimoN platform provides a ...