Understand how ad fraud has evolved into sophisticated criminal syndicates
From individuals exploiting loopholes in a juvenile advertising ecosystem to sophisticated players stealing approximately $19 billion in 2018.
Fraud is constantly evolving to avoid detection, so a reactive approach relying on blacklists and rules will not help you block new fraud tactics.
How using machine learning allows you to surgically remove fraud
Machine learning allows anti-fraud solutions to analyse trillions of data points, enabling precision blocking of invalid traffic only.
Understanding machine learning for fraud prevention
Ad fraud is constantly evolving to avoid detection. Utilising sophisticated machine learning is the only way to stop fraud before fraudsters get paid.
Download your free copy of our eBook to learn about:
Zero day and the evolution of ad fraud
Why machine learning should be part of your ad fraud defence
The importance of utilising machine learning in fraud prevention
The four essential elements that drive machine learning success