Systems and methods for detecting maliciousness of network communications through deployment of artificial intelligence techniques

Abstract

A computerized method is disclosed including obtaining an electronic message, performing a cyberthreat detection process thereon, which includes a first sub-analysis of the body and subject line information of deploying a probabilistic generative model resulting in determination of a likelihood that the electronic message is directed to one of a predefined set of topics, and when the likelihood that the electronic message is directed to one of the predefined set of topics meets or exceeds a first threshold, deploying one or more artificial intelligence models to determine or classify a semantics of the email body or subject, and a second sub-analysis of the header information of performing a heuristic analysis thereof, and performing a determination operation by either a relationship compiler resulting in a determination as to whether the electronic message is malicious or benign, and generating a display that provides the maliciousness determination.