In this article, we break down ad fraud in a new way - dividing the mass of methods between two very distinct approaches.

Moving beyond the types of fraud we discussed in part 1 of our theory series, it’s time we looked at the lack of distinction between fraud solutions.

For many, machine learning is just a catch-all buzzword. After all, you could say it’s just a bunch of ‘if statements’, and (in some cases) you wouldn’t be too far off.

The biggest unspoken truth of 2018 is this: the market often views fraud as a good thing.

Mobile ad fraud is becoming one of the most prevalent topics in the industry, and as we continue to fight app fraud, we listen to the voices of our clients to help discover how it affects them.

Today we’re taking the next logical step in cleaning up our industry and protecting our clients. We’re doing this by asserting what should be a very obvious standard: that for every click, there must ...

Learn everything you need to know about different types of mobile ad fraud.

Viber was able to stop performance ad fraud in its tracks

By combining Purchase Verification with Fraud Prevention, MyTona was able to stop fraud from reaching its campaigns

Spoofing is a buzzword that gets thrown around whenever people talk about fraud. How much of it is true, and what can you do to protect yourself? Find out from Michael Paxman, Product Research Manager...