Most fraud detection gets deployed at crude, arbitrarily chosen thresholds that actively hemorrhage millions. Here's how interactive stress-testing fixes that.

With large masses of data distributed across numerous storage centers, machine learning has been invaluable as Capital One ...

The surge in online transactions across industries such as banking, e-commerce, and digital services has significantly increased vulnerability to cyberattacks. With the growing adoption of digital ...

What Is Instant Payment Fraud Detection? Instant payment fraud detection is the process of identifying suspicious or potentially fraudulent financial transactions as they happen. It helps banks assess ...

Criminals network attack the trust layer: here’s who banks can take it back.

Discover how integrating cybersecurity, AI-driven fraud prevention and payment security helps businesses reduce financial ...

Companies using several artificial intelligence fraud tools are more likely to stop attempted theft before money leaves their ...

Ocrolus, the AI workflow and analytics platform for lenders, today announced it has expanded the fraud detection capabilities of Ocrolus Detect through an integration with Resistant AI's Documents ...

Overview:  Model distillation is a machine learning technique that transfers knowledge from a larger, more complex model to a ...

With a growing share of insurance executives viewing generative artificial intelligence as a tool for streamlining and improving functions like fraud detection, Deloitte predicts that AI technologies ...

Fraud is growing more complex and coordinated, pushing credit unions to rethink legacy defenses and adopt real-time, ...

Facing millions of dollars in Web fraud losses, companies cannot rely solely on strong user authentication for online banking, e-commerce and similar sites (as underscored by the Federal Financial ...