Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of autonomous asset configuration modeling and management. The innovation includes probing elements of a networked architecture to compile information about elements in the networked architecture. The innovation learns a configuration for the at least one element in the environment based on the probing and determines vulnerabilities in the learned configuration. The innovation develops a threat model based on the learned configuration. The innovation applies the threat model to the elements of the networked architecture and deploys a configuration that resolves the vulnerabilities based on the threat model to the elements in the networked architecture. The threat model can be developed over time using machine learning concepts and deep learning of data sources associated with the elements and vulnerabilities.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of reconfiguring network settings. The systems and methods monitor a network and detect a hacker on a network. The systems and methods can reconfigure network settings of the network upon detecting the hacker. The systems and methods can analyze the hack for severity; and determine a reconfiguration layer based on the severity of the hack. The reconfiguration layer determines a subset of the network settings to be reconfigured. The systems and methods can dismantle the network and generate a replacement network having the reconfigured set of network settings and replace the network with the replacement network.

Abstract: The innovation disclosed and claimed herein, in one aspect thereof, comprises systems and methods of reconfiguring network settings. The systems and methods monitor a network and detect a hacker on a network. The systems and methods can reconfigure network settings of the network upon detecting the hacker. The systems and methods can analyze the hack for severity; and determine a reconfiguration layer based on the severity of the hack. The reconfiguration layer determines a subset of the network settings to be reconfigured. The systems and methods can dismantle the network and generate a replacement network having the reconfigured set of network settings and replace the network with the replacement network.