Monitoring, forecasting, and detecting compromised communications using quantum computing and artificial intelligence

Abstract

Methods, systems and apparatus for detecting, monitoring and forecasting for compromised electronic communications in an electronic communication system. Methods may include isolating, from a historical database, electronic communications associated with a plurality of senders into individual data capsules. Methods may include generating and storing a predictive analytic profile for each sender based on a communication style identified for each sender. Methods may include filtering out compromised electronic communications using a dynamic quantum filter, the dynamic quantum filter including a dynamic condition set. Filtering may include inserting a quantum signature into each incoming electronic communication. Methods may include retrieving the predictive analytic profile associated with the sender identified for each incoming electronic communication. Methods may include assigning condition values to each electronic communication based on comparing each electronic communication to a corresponding predictive analytic profile. Methods may include determining whether the assigned condition values conform with the dynamic condition set.