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.
General Dynamics C4 Systems has announced that its TACLANE-C100 encryptor has been certified by the National Security Agency (NSA) as a Suite B device to secure network communications at the Secret level and below. According to the company the certification paves the way for the system to be used in the US government’s new ‘leave behind’ strategies.
The certification makes the C100 a non-Controlled Cryptographic Item (CCI), enabling users to operate the encryptor in environments where there is a high risk of equipment loss. The TACLANE-C100, as a NSA Cryptographic High Value Product, non-CCI device, will also enable interoperability among US government, military and NATO networks as well as private industry responsible for securing the nation's critical infrastructure.
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.