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.
Custodio Technologies, the Singapore-based subsidiary of Israel Aerospace Industries, has been awarded a role in the Smart Learning Analytics for Digital Crime (SLADE), the company confirmed on 23 April.
SLADE will also involve the Institute of Technology, the Defence Science Technology Agency (DSTA) and the Ministry of Home Affairs in Singapore and its work will feed into the wider National Cybersecurity R&D programme.
Alvin Cheng, Director of R&D at Custodio Technologies, said: ‘Our goal is to help Law Enforcement Agencies around the world to effectively combat cybercrime and successfully prosecute those whp choose to use technology against us and our communities.’
The programme will utilise Custodio’s own next-generation cyber analysis platform known as CyVestiGO. This is already available for commercial use and provides assistant to cyber operators and analysts by reducing work load whilst reducing the time needed to identify Advanced Persistent Threats.
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.