Abstract: An identity of a user on a first computing node of a plurality of nodes within a computing environment is authenticated. A first authentication score for the user is calculated at the first computing node using at least one machine learning model. The first authentication score characterize interactions of the user with the first computing node. Subsequent to such authentication, traversal of the user from the first computing node to other computing nodes among the plurality of computing nodes are monitored. An authentication score characterizing interactions of the user with the corresponding computing node are calculated at each of the nodes using respective machine learning models executing on such nodes The respective machine learning models use, as an attribute, an authentication score calculated at a previously traversed computing node. Thereafter, an action is initiated at one of the computing nodes based on the calculated authentication scores.

Abstract: An identity of a user on a first computing node of a plurality of nodes within a computing environment is authenticated. A first authentication score for the user is calculated at the first computing node using at least one machine learning model. The first authentication score characterize interactions of the user with the first computing node. Subsequent to such authentication, traversal of the user from the first computing node to other computing nodes among the plurality of computing nodes are monitored. An authentication score characterizing interactions of the user with the corresponding computing node are calculated at each of the nodes using respective machine learning models executing on such nodes The respective machine learning models use, as an attribute, an authentication score calculated at a previously traversed computing node. Thereafter, an action is initiated at one of the computing nodes based on the calculated authentication scores.