Training a malware scanner using training data that includes malware generated by an artificial intelligence (ai)

Abstract

In some cases, malicious code is injected into a legitimate software package to create an injected package. An artificial intelligence (AI) extracts a plurality of parts of the injected package, mutates individual parts to create multiple mutated parts, and assembles at least a portion of them to create a mutated malware. A malware scanner determines a risk score associated with the mutated malware. If the risk score satisfies a predetermined threshold, the mutated malware is stored in a set of mutated malware. When a number of mutated malware in the set of mutated malware satisfies a requested number, the set of mutated malware are added to a set of training data that is used to train a particular malware scanner that includes a particular artificial intelligence component. After being trained, the particular malware scanner is deployed to detect malware.