Zero trust architecture for networks employing machine learning engines

Abstract

A system for governing access to a network environment, including: at least one communication node communicatively coupled to a network infrastructure; a network assurance agent configured to monitor the at least one communication node, wherein the network assurance agent performs actions including: generating, in response to an access request for a network resource from the at least one communication node, an environmental model of the at least one communication node relative to the network environment, wherein the environmental model includes operational data of the at least one communication node or at least one other communication node in the network environment, calculating a risk score for the at least one communication node via a machine learning algorithm, based on the environmental model, and granting or denying the access request based on the risk score.