US 12,149,555 B2
Systems and methods for vulnerability assessment for cloud assets using imaging methods
Venkata Ramani Yellapragada, Calgary (CA); and Harjinder Singh, San Jose, CA (US)
Assigned to SecureX.AI, Inc., San Jose, CA (US)
Filed by SecureX.AI, Inc., San Jose, CA (US)
Filed on Jun. 13, 2022, as Appl. No. 17/838,800.
Application 17/838,800 is a continuation in part of application No. 17/563,889, filed on Dec. 28, 2021.
Prior Publication US 2023/0208871 A1, Jun. 29, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06N 5/046 (2023.01)
CPC H04L 63/1433 (2013.01) [G06N 5/046 (2013.01); H04L 63/1416 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
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.