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: A method may include retrieving from a data store default values of intersections of a first type of characteristic of an entity and a second type of characteristics of the entity; presenting a first portion of a user interface on an electronic display device, the first portion of the user interface including an initial matrix of: a plurality of rows, a plurality of columns, wherein, the rows columns intersect to form a plurality of cells and the cells are populated with values based on the retrieved default values. The method may further include receiving a maturity value; calculating a weighted matrix of values based on the received maturity values; applying the weighted matrix to the values of the cells in the initial matrix to generate adjusted values for each of the cells in the initial matrix; and presenting an adjusted matrix based on the adjusted values.