Cognant LLC

Owen S Vallis

James Koh

Heng Wang

Arun Kejariwal

Ishan Upadhyaya

Brian A Walker

Matt Holland

Susanna Orr

Vivek Girotra

Wei Yang

Harsh Singhal

Neal Nakagawa

William Hatzer

Daniel Gelman

A method, a system, and an article are provided for detecting and managing anomalies associated with content presentations. An example computer-implemented method can include: obtaining a stream of data including a record of clicks on a plurality of client devices; aggregating the stream of data to generate a batch click stream for each of the client devices; processing the stream of data using a real-time anomaly detector to detect a first anomaly indicating that at least one of the client devices was previously associated with fraudulent clicks; processing each batch click stream using a batch anomaly detector to detect a second anomaly indicating that at least one of the batch click streams includes fraudulent clicks; and facilitating an adjustment of content presentations on the client devices, based on at least one of the detected first anomaly and the detected second anomaly.

System and method for detecting fraudulent activity on client devices

A method, a system, and an article are provided for detecting and managing anomalies associated with content presentations. An example computer-implemented method includes: obtaining a stream of data including a record of software installations on a plurality of client devices; processing the stream of data using a real-time anomaly detector to detect a first anomaly indicating that a client device was previously associated with fraudulent software installation activity; aggregating the stream of data to generate a batch record of software installations for each publisher from a plurality of content publishers; processing each batch record of software installations using a batch anomaly detector to detect a second anomaly indicating that at least one of the publishers is associated with fraudulent software installation activity; and facilitating an adjustment of content presentations on the client devices, based on at least one of the detected first anomaly and the detected second anomaly.

System and method for detecting fraudulent software installation activity

A method, a system, and an article are provided for detecting bot users of a software application. An example method can include: providing a client application to a plurality of users; obtaining device-based data and application-based data for each user, the device-based data including a description of at least one computer component used to run the client application, the application-based data including a history of user interactions with the client application; aggregating the data to obtain a plurality of bot signals for each user; analyzing the bot signals to detect a bot among the plurality of users; and preventing the bot from accessing the client application.

System and method for bot detection

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Santa Clara, CA, United States of America

Owen S Vallis