Systems and methods for automating incident severity classification

Abstract

Systems, apparatuses, methods, and computer program products are disclosed for automating incident severity classification. An example method includes: receiving a historical incident dataset; receiving a new incident dataset including information regarding a set of new incidents; generating a set of predicted severity classifications for the set of new incidents using a machine learning model, the historical incident dataset, and the new incident dataset; determining that a severity classification mismatch between at least one assigned severity classification and a predicted severity classification of the set of predicted severity classifications exists for the new incident dataset; and in response to determining that the severity classification mismatch exists, prompting further investigation of the severity classification mismatch through outputting an indication of the severity classification mismatch.