In this session, we present how AI-driven methods are being applied at armasuisse science and technology to perform systematic technology monitoring of emerging and potentially disruptive technologies relevant to national security. Using large language models (LLMs) and other AI techniques, we analyze vast volumes of global scientific and technical data (e.g., OpenAlex, arxiv, and patents) to identify early signals of innovation. This includes detecting trends in cyber capabilities, dual-use technologies, and developments that may impact defense strategies. Our approach not only enhances situational awareness for decision-makers but also contributes to anticipatory threat modeling in the face of rapid technological evolution. The presentation will highlight concrete use cases, challenges in trustworthy AI adoption, and interactive visualizations that support analysts in navigating complex and evolving tech landscapes.
This poster session is held by Dr. Julian Jang-Jaccard.
Swiss Cyber Storm is an international IT security conference in the domain of cyber attacks and defense.
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