USING CLASSIFIED TEXT, DEEP LEARNING ALGORITHMS AND BLOCKCHAIN TO IDENTIFY RISK IN LOW-FREQUENCY, HIGH VALUE SITUATIONS, AND PROVIDE EARLY WARNING

Deep learning is used to identify specific, potential risks to an enterprise while such risks are still internal electronic communications. The combination of Deep Learning and blockchain technologies is a system for overcoming the problem of “small training sets” for highly adverse situations. Each enterprise's data is secure; is not revealed to any other enterprise and yet is being aggregated using blockchain technology into a training set that is provably viable for building a Deep Learning model which is specific to a given adverse situation. When deployed, the Deep Learning model may provide an early warning alert to an enterprise's corporate counsel (or leaders) of a potential adverse situation the enterprise would like to know about in time to conduct an internal investigation in order to prevent or avoid the risk.