Artificial intelligence method and system for detecting anomalies in a computer network

An enterprise network system comprising:

• a data source coupled to a network;
• a router coupled to the data source;
• a switch device coupled to the router;
• a discovery module coupled to the switch device, the discovery module configured to monitor traffic to the switch device to detect all of a plurality of client devices coupled to the switch device, detect all of a plurality of sensor devices coupled to the switch device, and detect all of a plurality input device coupled to the switch device, the discovery module comprising a catalog of each of the plurality of client devices, the input devices, the sensing devices, or other network devices;
• a monitoring module coupled to the switch device, the monitoring module configured to monitor traffic to the switch device;
• an AI based monitoring and detection module coupled to the switch device, the AI based monitoring and detection module configured through the switch device to detect one or more anomalies from a flow of data from each of the plurality of client devices and the AI based monitoring and detection module configured through the switch device to process the flow of data through a process selected out of a plurality of processes, the plurality of processes being numbered individually from one through N, where N is greater than 5, the plurality of processes include a clustering process, a classification process, a regression process, an association process, a plurality of probabilistic processes comprising a Bayesian Network, or a graph based model, alone or in combination with any of the other aforementioned processes;
• and
• a remediation module coupled to the switch device, the remediation module configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.