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

Explore how AI is transforming risk management in banking, enhancing credit assessments and compliance automation, while ...

What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...

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, ...

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 ...

Traditional techniques for identifying and countering GenAI-enabled vehicle insurance fraud are notably limited, especially ...

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 ...

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 Treasury says it identified or recovered $4 billion in fraudulent payments last fiscal year, a sixfold increase over the previous year. Reading time 2 minutes The U.S. Department of the Treasury ...

Fraudulent activities within the financial services sector have escalated into a significant concern, with projections indicating that online payment fraud could result in losses exceeding $206 ...