by Daniel Celeny, Loïc Maréchal, Evgueni Rousselot, Alain Mermoud, Mathias Humbert | Mar 4, 2024 | Publications, Scientific Articles
Abstract: Along with the increasing frequency and severity of cyber incidents, understanding their economic implications is paramount. In this context, listed firms’ reactions to cyber incidents are compelling to study since they (i) are a good proxy to estimate...
by Alessandro Tavazzi, Dimitri Percia David, Julian Jang-Jaccard, Alain Mermoud | Mar 3, 2024 | Publications, Scientific Articles
Abstract: Identifying technological convergence among emerging technologies in cybersecurity is crucial for advancing science and fostering innovation. Unlike previous studies focusing on the binary relationship between a paper and the concept it attributes to...
by Daniel Celeny, Loïc Maréchal | Feb 7, 2024 | Publications, Scientific Articles
Abstract: We extract firms’ cyber risk with a machine learning algorithm measuring the proximity between their disclosures and a dedicated cyber corpus. Our approach outperforms dictionary methods, uses full disclosure and not devoted-only sections, and...
by Loïc Maréchal, Alain Mermoud, Dimitri Percia David, Mathias Humbert | Feb 7, 2024 | Publications, Scientific Articles
Abstract: Early-stage firms play a significant role in driving innovation and creating new products and services, especially for cybersecurity. Therefore, evaluating their performance is crucial for investors and policymakers. This work presents a financial evaluation...
by Technology Observatory | Jan 4, 2024 | Podcasts, Press, Publications
Digital technologies offer strong potential for Switzerland, but it is crucial to understand which opportunities and risks, as well as which dependencies, arise when using them. One of the goals of the DDPS’ cyber strategy is to be as technically autonomous as...
by André Charneca, Angelika Romanou, Ljiljana Dolamic, Alain Mermoud | Dec 22, 2023 | Podcasts
Abstract This study investigates the effectiveness of two distinct computational approaches for mapping the technological landscape by extracting company and product relations from news articles. The first approach leverages Large Language Models (LLMs), specifically...