Achieving and maintaining cyberspace superiority is predicated on enabling the militaryâs most valuable assets its people to gain advantages in cyberspace. This requires the maintenance and enhancement of readiness through realistic, high fidelity training. Key to this is the Persistent Cyber Training Environment (PCTE), which is intended to serve as an on-demand, self-service enterprise training platform that can be applied across cyber mission sets and at the individual, collective, and force levels. For PCTE to be effective, it needs to be able to collect, extract, transform, visualize and correlate data from digital activities, to include (but not limited to) network traffic flow capture, node health state, in-range sensor instrumentation, operator activity, scenario injects/effects, collaboration methods, and observations against training objectives. Furthermore, aggregation of this data will provide trends, enable playback/replay, empower predictive analytics and modeling, as well as other capabilities that refine the Armyâs quantitative and qualitative understanding of whether or not training objectives, standards, and conditions have been achieved. Unfortunately, much of this data is stove-piped and captured manually/individually; without relevant and timely data, the Army is limited in its capacity to more comprehensively understand performance, assessment, and collate AARs over time with trends and predictions. The PCTE platform, with its suites of tools, applications and repositories, is only as powerful as the data behind it, if CMF operators are not given timely access to relevant data, then they will not be able to take advantage of big data analytics and visualization technologies in order to understand individual, team, and force level performance against training objectives. To solve this challenge, AnaVation â a purpose-built small business specializing in delivery of agile, cloud, Big Data, and cybersecurity solutions â is proposing CADET (Cyber Analytic Data Enhanced Training). CADET is designed to enable the collection, correlation, extraction, visualization and assessment of Cyber Mission Forces (CMF) embedded within high fidelity training environments across defensive/offensive operations and from individual, collective and force level training continuum. CADET will leverage a proven, AnaVation-developed, Government Off-the-Shelf (GOTS) methodology entitled PARADISE (Policy Apportioned Real-time Analytic Discover Index Search Environment), which can be implemented using open-source, Army-accredited techno
