Systems and methods for vulnerability assessment for cloud assets using imaging methods

Abstract

Systems and methods for predictive analysis of potential attack patterns based on contextual security information are described. In one embodiment, a method includes generating an image for an enterprise that indicates one or more software application stacks of a virtual instance of a cloud provider from an application programming interface of the cloud provider and a network architecture for the one or more software application stacks without installing and utilizing security monitoring software on the cloud provider; determining one or more vulnerabilities of the one or more software application stacks and one or more vulnerabilities of the network architecture from the image; providing the one or more vulnerabilities of the one or more software application stacks, and the one or more vulnerabilities of the network architecture as input to a machine learning model; generating an inference by the machine learning model that indicates one or more attack paths for an attacker in the one or more software application stacks and the network architecture; and transmitting the inference to a storage location or a security software application.