The demands of Counter-Insider Threat (C-InT) assessment to fully address the insider threat analysis problem exceeds currently fielded solutions and overwhelm the cognitive limitations of C-InT professionals. In contrast to current practice that is largely reactive, a continuous intelligence approach with an advanced behavioral analytic is needed to achieve a comprehensive, proactive C-InT program that can handle the data analysis demands and decision support for C-InT professionals. Analysis of behavioral and technical data in a predictive, unified real-time platform (URP) will deliver a whole person C-InT program that monitors and detects potential insider risks so that threat mitigation efforts can be applied to help detect or avoid incidents.
