fortiss has published a new white paper, “Software-Defined Defence: A perspective on civilian-to-defence research transfer to SDD,” authored by Rute C. Sofia, Daniel Mendez, Simon Barner, Hao Shen, Julian Wörmann, Andrea Stocco, Axel von Arnim, Holger Pfeifer and Alexander Pretschner.
Military capability is increasingly determined by software, yet defence platforms are procured over decades while the software and AI models they carry must change in days or even hours. The paper calls this mismatch the lifecycle paradox and argues that it is the central engineering problem Software-Defined Defence must solve. It frames SDD across three intertwined dimensions: software and systems engineering, AI engineering, and connectivity and infrastructure engineering.
Rather than starting from a clean slate, the paper builds on technologies already proven in civilian domains such as automotive, manufacturing, space and energy. It proposes a continuous, DevOps-style engineering loop in which model-based systems engineering and simulation-based testing front-load design and verification, while tactical connectivity and low-power edge execution carry that design into contested operation. Continuous cybersecurity compliance, continuous assurance and variability management run beneath both phases. For each capability, the paper states what is already validated and what remains an open transfer problem under adversarial or defence-certified conditions.
The paper closes with recommendations for researchers, industry, policymakers and defence agencies across three horizons: a testing, compliance and connectivity baseline for 2026 to 2027, certification, assurance and orchestration pipelines for 2027 to 2029, and validation of the full loop under realistic operational conditions by 2029 to 2030. It also shows how closing the SDD gap can meet European and German legislation such as the AI Act and GDPR while keeping civic benefits.