Skip to main content
Secondary Title
IISS
Abstract

This report investigates the growing role of defence
software and AI/ML (machine learning) in military power
now and in the medium term. It focuses on three goals:to define software-defined defence, to assess ongoing practices and processes in the development of defence software and AI/ML, and identify recurring challenges,  to explore and assess the ongoing efforts towards
software-defined defence in five country case studies – China, France, Germany, the United Kingdom and the United States – and how SinoAmerican strategic competition is shaping them.

Concluding remarks
This report finds that a transatlantic gap in softwaredefined defence (capability and doctrinal/operational) has already emerged. Compared to the Europeans, the US is more advanced in the technological, funding, planning, experimental and doctrinal aspects of software-defined defence. US software-defined defence is and will remain much more scalable and better funded than European efforts. However, the mounting challenges in the United States’ adoption of AI/ML in defence mean the transatlantic gap is relatively narrow, despite the scale and speed of US efforts. Therefore, it is our assessment that the transatlantic software-defined capabilities gap is still bridgeable in the medium to long term if the Europeans accelerate their efforts and muster the political will to fund the development of modern defence capabilities. The lessons learned from the ongoing war in Ukraine could be an important catalyst for
this transformation.

Reference details

Resource type
Miscellaneous
Year of Publication
2023
Publication Area
Cybersecurity and defense

How to cite this reference:

Software-defined Defence: Algorithms at War. (2023). Retrieved from https://alkhanadeq.org.lb/static/media/uploads/files/IISS_Software-defined%20Defence_17022023.pdf