Many marketers think they've got ad fraud solved (because they paid for bot detection). But are the verification vendors measuring correctly? How would you know, if they are "black box?" ...

For example, we developed a virtual alert handler that uses artificial intelligence to better detect suspicious transactions and customer behaviors, … An AI-based anomaly detection tool went live in ...

CORRECTEDCORRECTION: An example cited in this blog post about fraud that was discovered in the Wake County, N.C., school district back in 2004 included factual errors and may have misled readers ...

You just got an ad verification report that says “27% IVT” (invalid traffic). “Whatcha gonna do?” What if you could see which sites and apps are eating up your ad impressions, and ...

Conclusion The integration of Transaction Similarity Analysis into fraud detection strategies offers a promising path forward in combating fraud and protecting legitimate customers. As ML technology ...

That’s Forensiq’s approach to fraud detection: Prevention is better than cure, especially in programmatic. Although Forensiq does provide a reporting service, its focus is on trying to deflect a risky ...

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 ...

Banks/Fintechs can utilize Federated Learning to provide tailored finance offers (for example, credit cards or investments) ...

We recently spoke with Andrew Baker, CTO at Capitec, on how it tackles fraud detection and the role AI could play.