Lisa Gebauer presented a paper at the IEEE ISIE 2025 conference in Toronto on how the use of large language models can contribute to security risk assessments in industrial component development.
inIT at IEEE ISIE 2025 in Toronto
The renowned IEEE International Symposium on Industrial Electronics (ISIE) took place from 20 to 23 June 2025 in Toronto, Canada. As one of the world's leading conferences in the field of industrial electronics and automation, ISIE once again provided a platform for experts from science and industry to discuss current research results. inIT was also represented by Lisa Gebauer. The research associate in the Networked Automation Systems working group headed by Prof. Dr. Henning Trsek presented a paper from the SUSI project – Software-based support for security risk assessments in industry.
Paper on AI-supported risk assessment
The paper, entitled ‘Toward Leveraging Large Language Models to Support Cybersecurity Risk Assessments in Industrial Component Development,’ addresses the question of how large language models (LLMs) can help make security assessments of industrial components more efficient.
In the SUSI project, inIT is working with consortium partners to develop a software solution to significantly reduce the effort required for security risk assessments in industry. The aim is to improve and standardise time-consuming and cost-intensive manual processes through the use of software based on methods from the field of generative artificial intelligence.
Insights, exchange and international networking
Participating in the conference not only provided an opportunity to present the research results to an international audience of experts, but also to gather ideas for the further course of the project.
‘The exchange with colleagues from all over the world was very enriching,’ sums up Lisa Gebauer. ‘At ISIE 2025, there was particular interest in the use of AI to increase efficiency in various areas of application. Our research topic of AI-supported risk assessment therefore fitted very well into the conference programme, which shows how relevant this topic is for the future of industrial IT security.’
Further information on the SUSI research project is available at:www.init-owl.de/forschung/projekte/detail/software-basierte-unterstuetzung-von-security-risikobeurteilungen-in-der-industrie/