AI-Based Trend and Sentiment Analytics for Latent-Risk Discovery

AI-Based Trend and Sentiment Analytics for Latent-Risk Discovery: In support of forward deployed operations to protect soldiers, sailors, airmen, and marines operating in a coalition environment against insider threats, develop multidimensional machine learning and reasoning technologies that incorporate trend and sentiment analysis techniques and algorithms into a range of entity and behavior analytics for integration into a shared-networked environment for timely intervention and neutralization of harmful intents. This Artificial intelligence (AI)-based Decision-Aid technology is aimed at isolating and marking susceptible entities/groups that are willingly influenced by like-minded role-models, and may act on perceived cues to harm or terrorize. The marked entities/groups-of-interest are guided by ideological attitudes and perceptions encapsulating their set of values and interpretation of the world. To “connect the dots”, this AI technology exploits resources such as: open-source intelligence, social and financial network activities, and entities' stability to discover, identify, and predict the evolving dark-pattern-of-life that is accentuated by emergent behaviors associated with risk-latent intents—especially the risk indicators and warning signs related to low-signal-to-noise events and transactions are of particular interest.