The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

In the U.S., credit card fraud costs $5 billion annually, identity theft adds $16.4 billion, and Medicare fraud drains $60 billion each year. A new machine learning breakthrough generates accurate ...

As the executive director of a payment service provider, I've seen payment processing come a long way—but significant pain ...

Medicare fraud costs $60 billion each year, and government losses range from $233 billion to $521 billion annually, with improper payments totaling $2.7 trillion since 2003. Machine learning plays a ...

The seemingly dire question of deepfake fraud has entered the Prism Project’s refracting lens, as showcased in a recent ...

Some of the most important innovations AI brings to fraud prevention include: Anomaly detection: Identifying unusual payment behaviors and deviations as they occur, curbing the risk of lagging ...

With the rise of LLMs and agentic AI, not only are legitimate users using these tools, but also fraudsters. DataDome argues that traditional fraud prevention methods that focus solely on identity ...