A Type 1 product is a classified or Controlled Cryptographic Item (CCI) endorsed by the NSA for securing classified and sensitive U.S. government information.

Learn about the NSA CSfC program, data at rest encryption, capability package, protection profiles, components & layers, and trusted integrators.

Classified data-at-rest (DAR) faces both internal and external threats that can subject sensitive data to exploitation.

This paper illustrates the current barriers to communication and situational understanding (SA) and orients the reader to tools that are available today to break down these barriers. Today’s warfighters can’t be impaired by a lack of information.

The goal of Secure Wireless Communications is to provide controlled access to classified or controlled unclassified information (CUI) over any RF transport in the field - between vehicles and end-users alike.

This whitepaper compares various CSfC network architectures, and proposes several approaches for CSfC solutions optimized for mobility use cases.

This paper provides a review of the most recent changes from CP 4.0 to 5.0 with special emphasis on Unattended Operation Use Case and a HH solution.

This essential guide describes MOSA's significance for defense technology and the roles standards like SOSA, CMFF, CMOSS, VICTORY, GVA, and FACE play.

This white paper was presented at the 2021 NDIA Ground Vehicle Systems Engineering and Technology Symposium, Vehicle Electronics Architectures Technical Session, August 10-12, 2021.

Tensor cores are indispensable for performing the types of calculations needed for artificial intelligence (AI) and machine learning. The role of AI and machine learning in defense applications is on the rise, making tensor cores critical for defense.

Like humans, machines learn from experience. They make observations from inputs of images, text, or other data, and then look for patterns. After the machine runs through the mathematical layers, it learns to make better decisions based on the examples it was given.

Which is better for machine learning applications, 2nd Generation Intel Xeon Scalable Processors or NVIDIA’s T4? A head-to-head comparison helps explain whether you should choose a CPU or a GPU for your high-performance machine learning solution.