Abstract: Systems and methods for monitoring a network slice are provided. A method, according to one implementation, include extracting information from network traffic received from one or more User Plane Function (UPF) components of a network slice; examining the extracted information using Machine Learning (ML), and, in response to detecting of one or more malicious threats based on the examined extracted information by the ML, causing one or more actions to isolate the network traffic to protect at least the network slice from the one or more malicious threats.

Abstract: Systems and methods for monitoring a network slice are provided. A method, according to one implementation, include extracting information from network traffic received from one or more User Plane Function (UPF) components of a network slice; examining the extracted information using Machine Learning (ML), and, in response to detecting of one or more malicious threats based on the examined extracted information by the ML, causing one or more actions to isolate the network traffic to protect at least the network slice from the one or more malicious threats.

Abstract: Systems and methods for discovering the connectivity topology of cross-layer links in a multi-layer network are provided. In one implementation, a method includes a step of obtaining input data related to a plurality of Network Elements (NEs) operating in a plurality of layers within a multi-layer network having one or more cross-layer port-to-port connectivity links therebetween. The method also includes the step of utilizing Machine Learning (ML) processes and the input data to discover the one or more cross-layer port-to-port connectivity links between pairs of NEs operating in different layers of the plurality of layers within the network.