BAE Systems Wins Contract to Deliver and Manage Secure Networks Across Essential Government Agencies

The US Air Force Research Laboratory (AFRL) has awarded BAE Systems a five-year $85 million contract to continue to develop, deploy, modernize, and maintain cross-domain solutions that allow for secure transfer of sensitive information between government networks. The work on the contract will enable the secure exchange of data—including streaming video, images and audio—to enhance mission collaboration. BAE Systems will also provide research, development, and evaluation of new technologies, including the integration of innovative artificial intelligence and machine learning capabilities.

BAE Systems will continue to develop, deploy, modernize, and maintain cross-domain solutions that allow for secure transfer of sensitive information between government networks.

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“As the military cyberspace battlefield expands, we understand how critical it is that secure, innovative intelligence solutions are available to warfighting commands and combat support agencies to communicate safety and effectively,” said Pete Trainer, vice president and general manager of BAE Systems’ Air Force Solutions business. “We are pleased to continue our long-standing partnership with the Air Force Research Laboratory and provide our expertise in high-assurance, cross-domain technologies to meet this new mission need. Our services will provide end-users access to virtual information and analysis faster, allowing them to make informed decisions quickly.”

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BAE Systems is a leading systems integrator supporting militaries, governments, and U.S. intelligence community members across the globe. The company’s advanced technologies and services protect people and national security, and keep critical information and infrastructure secure across air, land, sea, space, and cyber domains.

This material is based upon work supported by the Air Force Research Lab under Contract No. FA8750-20-F-0007. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Air Force Research Lab.

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