Systems and methods for zero-shot detection of malicious network communications through deployment of artificial intelligence techniques

Abstract

A computerized method is disclosed including operations of obtaining and parsing an electronic message into components including body and subject line information and determining a likelihood that the electronic message is directed to one of a predefined set of topics by deploying a probabilistic generative model, wherein the electronic message has a likelihood of being directed to a first topic of at least a first threshold. The operations may also include generating a prompt for a language model based on the first topic, providing the prompt and the body and subject line information of the electronic message to the language model, and generating a semantic result based on a response to the prompt from the language model. The electronic message may be classified by a relationship compiler or a neural network as malicious or benign based on the semantic result.