Systems and methods for intelligent identification and automated disposal of non-malicious electronic communications

Abstract

A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the electronic communication to an alert disposal queue based on the electronic communication having the classification label of the target non-malicious electronic communication type.