Capital One Services, LLC

Joseph Whitchurch

Philip Kim

Lawrence H Douglas

Robert Dean Rowley, Iii

Systems and methods to detect network activity deviations are described. The network activity data can include a set of network activities of a user and can be used to categorize the user into a segment. Deviations in the network activity can be detected based on one or more patterns of previous network activities of the user. For example, a value associated with the network activity can be determined to deviate from an expected value by a threshold value, determined based on the segment. Remediation to prevent the network activity from impacting future activities of the user can be determined based on scores of the network activity's participants, which includes the user. In an example, the network activity can be removed from an account of the user based on the determined remediation.

Network activity deviation detection and remediation

Systems and methods are provided for providing alerts to a user. The systems and methods may include a financial service provider including a memory device storing instructions. The financial service provider may also include at least one processor configured to execute the instructions to receive data relating to a transaction made by the user, compare the received data to a set of data associated with the user, determine whether the data relating to the transaction deviates from a set of data associated with the user by more than a threshold value, and send an alert message to a user device associated with the user when the processor determines that the data relating to the transaction deviates from the set of data associated with the user by more than the threshold value.

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McLean, VA, United States of America

Joseph Whitchurch