The primary objective of the research is to enhance drone operations and survivability through AI-driven cybersecurity, particularly in radio-jammed environments similar to those reported in Ukraine. Clavister will collaborate with Swedish firm Wireless P2P Technologies AB to deliver this project, which will include studies and field testing on a cognitive radio platform based on Software-Defined Radio (SDR) provided by the partner company.
Clavister plans to explore advanced AI methods for on-board jamming detection, building on its proprietary technology and extensive experience from past research and commercial projects. “I’m happy that we can contribute to solving very urgent defence challenges by leveraging our technology and experience, both from civilian and military domains. We continue to find new use cases for our patented AI technology, and by working with domain experts like Wireless P2P Technologies we can add value to new domains where cybersecurity is gaining importance,” said John Vestberg, CEO of Clavister.
The research comes as modern conflicts see increased drone usage alongside evolving countermeasures such as radio jamming, or Electromagnetic Warfare (EW). These countermeasures disrupt remote control and data transmission, posing risks of drone crashes and operational failures. Effective spectrum monitoring is crucial to address these challenges and safeguard the use of allocated RF resources in complex environments.
The project will apply advanced AI/ML algorithms to identify and map intentional jamming by technically adept adversaries. The goal is to provide drone operators with enhanced detection and situational awareness capabilities, improving the ability to navigate contested RF environments and reducing the risk of drone losses. This advancement is expected to bolster operational effectiveness and resilience in modern warfare.