1. A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to: detect a plurality of communication sessions associated with user activity; obtain information about the plurality of communication sessions, the information including at least one of a client identifier for individual sessions in the plurality of communication sessions, a session identifier for individual sessions in the plurality of communication sessions, or a session type for individual sessions in the plurality of communication sessions; perform a comparison of the information about the plurality of communication sessions to data included in a sessions model, the data indicating session characteristics corresponding to at least one of human activity or automated activity; attempt to classify individual sessions of the plurality of communication sessions as corresponding to human activity or to automated activity based, at least in part, on the comparison of the information to the data; identify, in response to the attempt to classify individual sessions as corresponding to human activity or to automated activity, one or more individual unclassified sessions that are unable to be classified as corresponding to human activity or automated activity based, at least in part, on the comparison of the information to the data; obtain information about a respective client identifier for the individual unclassified sessions previously identified, the information including a quantity of other unclassified sessions associated with the respective client identifier and a quantity of total sessions associated with the respective client identifier; and classify the individual unclassified sessions previously identified based, at least in part, on the quantity of other unclassified sessions relative to the quantity of total sessions.