Abstract: A system configured to detect malware is described. The system including an infection verification pack configured to perform behavior detonation; identify a malware object based on machine-learning; and select one or more persistent artifacts of the malware on the target system based on one or more algorithms applied to behavior traces of the malware object to select one or more persistent artifacts of the malware on the target system.

Abstract: Systems and methods for monitoring malware events in a computer networking environment are described. The systems and methods including the steps of identifying suspect objects; transmitting the suspect objects to an inspection service, wherein the inspection service inspects the suspect objects using a plurality of inspection methods to create digital information about the nature of the potential threat posed by the suspect objects; transmitting said digital information to an analytical service operating, wherein the analytical service performs a plurality of analytical algorithms to categorize the suspect objects with one or more scores for each suspect object based on their security threat; transmitting said one or more scores to a correlation facility which aggregates a plurality of scores; and generating an infection verification pack comprising routines which, when run on an end-point machine within the computer networking environment, will mitigate a suspected security threat.

Abstract: Systems and methods for monitoring malware events in a computer networking environment are described.

Abstract: A system configured to detect malware is described. The system including an infection verification pack configured to perform behavior detonation; identify a malware object based on machine-learning; and select one or more persistent artifacts of the malware on the target system based on one or more algorithms applied to behavior traces of the malware object to select one or more persistent artifacts of the malware on the target system.