Digital transactions have emerged as a dominant force in today’s global commerce sector, empowering businesses and financial ...

Despite all of the safeguards and fraud detection systems in place, Capital One failed to monitor or detect the unauthorized activity.

Machine learning plays a critical role in fraud detection by identifying patterns and anomalies in real-time. It analyzes large datasets to spot normal behavior and flag significant deviations ...

Over the next three to five years, we velieve federated learning has the potential to move from testing into mainstream ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

The BNPL fraud prevention market presents growth opportunities driven by rising digital payments, increased cross-border ...

The U.S. Department of the Treasury says its expanded use of machine learning systems helped detect and prevent billions of dollars in fraudulent payments in 2024. The treasury is the check-writer ...

The cost, which is labeled the LexisNexis Fraud Multiplier, had been $4 in 2021 for U.S. financial services companies and $3.65 for Canadian ones. The Canada figure for 2025 is close behind the U.S.