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

Insurance fraud detection using machine learning can help providers distinguish the fraudulent claims with higher efficiency and as a result, offer reduced premiums for the honest consumers.

Interested in understanding how AI and machine learning are being used to prevent bot-based fraud attempts, I attended a few recent webinars with Kount's 3 Key Elements Needed For Successful Bot ...

This article explores the transformative potential of machine learning algorithms in combating supply chain fraud, focusing on techniques such as supervised and unsupervised learning, anomaly ...

As the perpetrators of accounting fraud become ever more sophisticated in their techniques, fraud detection needs to step up its game. Thankfully, a group of researchers have devised a new machine ...

Going far beyond traditional attack detection, sophisticated machine learning systems help organizations stay one step ahead of fraudsters.

Here is how insurance companies are using ML to improve their insurance processes and flag insurance fraud before it affects their bottom lines.

One of machine learning’s most well-known use cases is fraud detection, an area that has drawn the attention of a growing number of technology suppliers looking to develop the best algorithms ...

How machine learning is taking on online retail fraud Fraud is one of the biggest causes of lost revenue for online retailers.

Why machine learning is the latest weapon against cellular network fraud Cellular networking carriers can use the latest analytics technologies to detect bad behavior.