Kubient, Inc.
FRAUD PREVENTION IN PROGRAMMATIC ADVERTISING
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Abstract:
Embodiments of the present invention provide for machine learning-based systems and methods for preventing fraud in programmatic advertising. The systems and methods provide for applying a plurality of machine learning models to data associated with a bid request, determining if the bid request is associated with fraudulent activity as a result of the machine learning models, and selectively preventing the bid request from being provided to potential buyers based on the determination.
Status:
Application
Type:
Utility
Filling date:
10 Sep 2020
Issue date:
11 Mar 2021