Machine learning for prioritizing traffic in multi- purpose inline cloud analysis (mica) to enhance malware detection

Abstract

Techniques for machine learning for prioritizing traffic in multi-purpose inline cloud analysis (MICA) to enhance malware detection are disclosed. In some embodiments, a system, a process, and/or a computer program product for machine learning for prioritizing traffic in multi-purpose inline cloud analysis (MICA) to enhance malware detection includes processing a set of data for network security analysis to extract a file; determining that the file is to be offloaded to a cloud security entity for security processing based at least in part on a prefilter model that is implemented as a machine learning model; forwarding the file to the cloud security entity using a multi-purpose inline cloud analysis (MICA) channel; and performing an action in response to receiving a verdict from the cloud security entity.