Exposing unknown threats with mathematical science

Cylance announced today the official worldwide release of CylanceV, a new cloud and on-premise solution to find what others miss in detecting advanced malware.
CylanceV delivers a new threat detection model that instantly and mathematically determines what is safe and what is a threat in the broadening “grey list” spectrum of unknown data – without the use of signatures, heuristics, behavioral analysis, sandboxing detonation or micro-virtualization.

It categorizes files, applications, executables, services, drivers, libraries and others as “safe” or “threat” using sophisticated mathematical analysis. Traditional black lists identify only the known bad – attacks that are successful either in the real world or in a virtual sandbox environment. But this reactive approach requires both expert malware analysts and a victim, or “sacrificial lamb” – Cylance needs neither.

SOURCE: net-security.org