Mission-based, game implemented cyber training system and method

A system for providing mission-based cyber-threat training to at least one student comprising:

• at least one student station comprising at least one processor, at least one video display and a user input device;
• a system server comprising at least one processor and a memory, said system server in communication at one or more times with said at least one student station;
• non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a game server which is configured to receive input from said at least one student station of a selected training mission;
• at least one database of cyber-threat mission sources stored in association with said system server;
• non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement a virtual environment manager which is configured to, in response to a selected cyber-threat training mission indicated by said game server, generate a virtual cyber mission environment comprising one or more virtual elements comprising a virtual network, a virtual system, a virtual device and a virtual tool for use by said game server in implementing said selected cyber-threat training mission as a game;
• at least one sensor configured to sense aspects of said selected cyber-threat training mission including student inputs;
• said game server configured to cause said at least one student station to display information regarding said virtual mission environment to a player;
• non-transitory machine-readable code stored in said memory and executable by said processor of said system server to implement an artificial intelligence engine which is configured to use natural language processing to comprehend text and language used by said player, and is configured to collect and store relevant data including cause and effect data associated with said virtual mission environment, to implement an artificial intelligence opponent to said student and an artificial intelligence monitor to provide on-demand in-game help to said student and automatically score said student, said artificial intelligence engine communicating with said game server to receive information regarding said student actions including sensed aspects from said sensor and to generate opponent actions which are displayed by said student station to said at least one student, said artificial intelligence opponent using machine learning and modeling to generate dynamic opponent responses.