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 ...

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 ...

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 ...

Since Google based the fraud detection on AI, Gemini only needs a few examples to learn what is suspicious, and can apply this knowledge across many business categories and languages.

Digital banking has indeed made things convenient, but it has also opened a wide gate for fraudulent activities. These days, ...

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 ...

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