Submissions are CLOSED!

U.S. Citizens Only

 

Purpose

The Cyber Fusion Innovation Center (CFIC), in collaboration with the Program Executive Office Simulation, Training and Instrumentation (PEO STRI) invites qualified industry partners to submit solutions in the form of a white paper for the development of an automated, advanced Artificial Intelligence-enabled traffic generation capability for the Persistent Cyber Training Environment (PCTE).  The intent of the RFS is to identify, evaluate, and select capable companies through the CIC #5 contract vehicle – CFIC, who will be the B2B contracting entity. Aligned to address emerging United States Cyber Command (USCC) operational priorities, this RFS seeks candidate prototypes across best-of-breed AI-enabled traffic generation solutions amongst various companies to incrementally integrate into the PCTE platform through its agile acquisition methodology, to improve realistic user activity and network traffic in the training environment.  

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Statement of Need 

PCTE’s current method for emulating users during training scenarios has several challenges.   Today, it is very easy to differentiate between what artifacts the red team left behind and what was auto generated. The current system does not provide the totality of network traffic required for realistic training desired by PCTE users including, network traffic, grey space user actions, system to system communication, etc.   On the network side, emulated user traffic has a distinctive signature that is easy to filter out.  Network traffic from emulated users is easily differentiated from OPFOR and other actors because the lack of realistic behavior leads to a high level of detectability. Furthermore, activities performed, and text written by emulated users is unrealistic and/or completely random.  In addition, emulated users are limited to a dedicated domain, a small number of operating systems, and have difficulty scaling beyond 50+ personas. This leaves limited choices for customizing user actions and it becomes increasingly difficult to configure and/or modify these actions. 

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Questions? 

For submission-related questions, please contact Brandon Sizemore at bsizemore@cyberfic.org and Amanda Green at agreen@cyberfic.org.