Kubient, Inc.
FRAUD PREVENTION IN PROGRAMMATIC ADVERTISING

Last updated:

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