Abstract: An example method of user identity tracking is performed by an application server. The Application server receives first telemetry data and second telemetry data. The first telemetry data indicates at least a first usage of a first user device. The second telemetry data indicates at least a second usage of a second user device. The Application server stores the first telemetry data and the second telemetry data to one or more databases and analyzes the telemetry data. Analyzing the telemetry data includes determining one or more usage patterns clustered by identity of a user. The Application server receives a request to query the one or more usage patterns for an identity of one or more users associated with the one or more usage patterns, where the application server provides the identity of the user in response to the request.

Abstract: An example method of fine grained digital experience controls is performed by an application server. The application server receives telemetry data that indicates a usage of a user device. The telemetry data is stored to one or more databases and analyzed to determine one or more usage patterns that are clustered by an identity of a user of the user device. The application server then monitors content accessed by the user and determines whether a rule violation has occurred by applying one or more rules to the accessed content. In response to determining that the rule violation has occurred, the application server sends a content blocking trigger to the user device to trigger the user device to block the content.

Abstract: An example method of fine grained digital experience controls is performed by an application server. The application server receives telemetry data that indicates a usage of a user device. The telemetry data is stored to one or more databases and analyzed to determine one or more usage patterns that are clustered by an identity of a user of the user device. The application server then monitors content accessed by the user and determines whether a rule violation has occurred by applying one or more rules to the accessed content. In response to determining that the rule violation has occurred, the application server sends a content blocking trigger to the user device to trigger the user device to block the content.

Abstract: An example method of user identity tracking is performed by an application server. The Application server receives first telemetry data and second telemetry data. The first telemetry data indicates at least a first usage of a first user device. The second telemetry data indicates at least a second usage of a second user device. The Application server stores the first telemetry data and the second telemetry data to one or more databases and analyzes the telemetry data. Analyzing the telemetry data includes determining one or more usage patterns clustered by identity of a user. The Application server receives a request to query the one or more usage patterns for an identity of one or more users associated with the one or more usage patterns, where the application server provides the identity of the user in response to the request.