Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

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 ...

One area of focus for the bank is using advanced artificial intelligence to detect business-email compromise. In Ryan Schmiedl's work protecting JPMorgan Chase from fraud of all kinds, business-email ...

The Federal Reserve is racing to contain a new kind of systemic risk, one that does not start with bad loans or exotic ...

AI continues to gain momentum, and according to a recent report by Accenture, the technology is predicted to add $1.2 trillion in value to the financial sector by 2035. As the head of a platform that ...

With AI technology, payment fraud and fraud prevention have become more complex and sophisticated. Both financial data owners and businesses that accept illegal payments are directly affected by ...

The modern workplace presents complex security challenges that extend beyond traditional cyber perimeters. While organizations invest heavily in ...