DevSecOps – first defined more than 40 years ago – brings a lot of value to modern development of military embedded systems, as the world sees global instability, ransomware attacks, and shortened development cycle.
Multiple intelligence (Multi-INT), sometimes referred to as multi modality, is a popular term used in recent years to describe C5ISR [command, control, computers, communications, cyber, intelligence, surveillance, and reconnaissance] applications in which data obtained from disparate sensing sources is fused together to derive new information and operational insights. In some cases, this can mean the fusion of SIGINT [signals intelligence] data and radar data, or SIGINT data with EW [electronic warfare] data and EO/IR [electro-optical/infrared] data. In other cases, it may mean combining real-time data with post-mission analysis from previously processed data. Additionally, there are approaches where artificial intelligence (AI) and machine learning (ML) assist via data and information analysis to identify patterns or predict outcomes.
Modern aerospace and defense platforms, especially in the growing field of unmanned vehicles, need more processing capability for compute-intense applications including AI, sensor processing, and fusion in avionics, that can be easily refreshed with new technology to meet new threats while keeping costs down and speeding time to market. Simplifying integration using an open architecture approach facilitates better affordability, scalability, interoperability, and sustainability across the entire military embedded ecosystem.