Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: One or more computer processes executing on a client computer are monitored for an anomalous condition relative to an adaptive reference model of the client computer. In response to detecting the anomalous condition, information is gathered regarding the anomalous condition as the processes continue to execute. A score is computed indicating a risk for continued execution of each of the processes based on the gathered information. Any of the processes for which the corresponding risk score meets a predetermined continued execution risk criterion is terminated.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method comprises receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method further comprises comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.

Abstract: Systems and methods for providing automated computer support are described herein. One described method includes receiving a plurality of snapshots from a plurality of computers, storing the plurality of snapshots in a data store, and creating an adaptive reference model based at least in part on the plurality of snapshots. The described method also includes comparing at least one of the plurality of snapshots to the adaptive reference model, and identifying at least one anomaly based on the comparison.