US Space Force increases efforts to plug training capabilities gaps
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
Critical Assets Labs, a division of Critical Assets, has been awarded a contract by DARPA for their Pin Pad Defender project. The contract is one of the first to be awarded by DARPA under their new Cyber Fast Track programme. Critical Assets made the announcement in a company statement on 23 November 2011.
According to the company, the funding will allow the continued development, fabrication and integration of a functional Pin Pad Defender prototype that will be presented to DARPA and others at the completion of the project.
A company spokesman said, ‘The truth is that attackers have adapted beyond today's security products. At Critical Assets, we demand defensive measures that our own white-hat hackers can't break. And that rules out most of the ‘solutions’ on the market today. Critical Assets Labs is pushing the envelope with new forms of defence. And we are developing novel counteroffensive measures to help deceive, identify and catch cybercriminals.’
The service has been seeking simulation and emulation solutions capable of reproducing multiple in-orbit threats.
The service has been conducting several acquisition and upgrading efforts involving artificial intelligence and machine learning to improve communication, data analysis and ISR systems.
The Syracuse 4B communications satellite, developed by Airbus and Thales Alenia Space, was launched last year, bolstering secure military satellite communications for the French Armed Forces. Thales has now been selected to provide terminals for vehicles.
The growing importance of space in modern warfare, advancements in satellite technology, and increasing threats from rivals like China and Russia were among the topics of a Eurosatory 2024 panel on military space operations.
AN/ARC-232A is a Starfire radio that provides VHF/UHF communications to airborne platforms and the transceiver is software-programmable, allowing for multiple waveform support as well as optional national electronic counter counter-measure (ECCM) capability.
During the 18-month period of the contract, Lockheed Martin will apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare and weapons within dynamic and operationally representative environments.