Dish Wireless L.l.c.

Mihir Bhatt

Jaynish Patel

A method for detecting gray routed messages may include receiving a message from a sender via a network. The method may include determining one or more characteristics of the message. The method may include providing the one or more characteristics to a machine learning model, the machine learning model configured to assign a score to the message based at least in part on the one or more characteristics of the message. The method may include determining that the message is a gray-routed message based at least in part on the score assigned to the message. Based on a determination that the message is a gray-routed message, the method may include transmitting data indicating the message, the one or more characteristics of the message, and the sender to a contextual filtering system, the contextual filtering system configured to identify and filter gray-routed messages from the network.

AI-driven gray route reduction

A method for flagging a message may include receiving the message. The method may include determining, utilizing at least one machine learning model, a score for the message based at least in part on one or more characteristics of the message. The score may represent a likelihood that the message is an illegitimate message. The method may include updating a database to include the message, the score, and/or the one or more characteristics associated with the message. The method may include providing at least a portion of data on the database to the at least one machine learning model such that the at least one machine learning model is retrained using the message, the score, and or the one or more characteristics. The method may include determining that the score is greater than a predetermined threshold. The method may include flagging the message as an illegitimate message.

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Denver, CO, United States of America

Mihir Bhatt