SYSTEMS AND METHODS FOR PREDICTING CYBERSECURITY VULNERABILITIES

Systems and methods are disclosed that predict whether a configuration item of a service provider cloud infrastructure client instance has a vulnerability, prior to scanning for the client instance for the vulnerability. In particular, operating system and/or application information of the vulnerability may be compared to that of the configuration item, operating system and/or application information of past vulnerabilities may be compared to that of the vulnerability, additional vulnerabilities that are solved by solutions that remedy the vulnerability may be compared to the configuration, and/or a machine-learning model may be trained to determine how similar past vulnerabilities of the configuration item are to the vulnerability. Based on one or more of these comparisons, a predicted vulnerable item may be generated that indicates that the configuration item is subject to the vulnerability.