RESIST-EM: Resisting Espionage & Sabotage with an Intelligent System for Training Expert Managers

This SBIR topic presents two challenges. The first is to define techniques and technologies that advance the science of Accelerated Learning. The solution must be powerful and generalizable across ill-defined domains. The second challenge is to apply this solution to train managers to detect, analyze, and respond to the insider threat to DoD information systems. Aptima’s proposal addresses both challenges. First, we will draw on instructional theory, mathematical methods, and software engineering to design a system of tools called the Accelerated Learning Architecture (ALA) for creating training systems. Second, we will design, prototype, and evaluate a domain-specific application of ALA that trains front line managers about the insider threat to DoD information systems. We refer to this system as RESIST-EM: Resisting Espionage & Sabotage with an Intelligent System for Training Expert Managers. The team – Aptima, Anders Ericsson (Florida State University), Frank Greitzer (National Security Directorate, Battelle), and Altadyn – brings to the mission expertise in training research, knowledge of the insider threat, and proven capability to develop training games. Lockheed Martin endorses this proposal for its transition potential. The solution will advance the science of Accelerated Learning and the training of managers who must detect, analyze, and act on insider threats.