Discover Emerging and Disruptive Technologies
Identify, monitor, analyze and forecast trends related to cybersecurity technologies
Data & Tools
Using diverse and reliable data sources is key to producing meaningful results. The Observatory seeks to identify high-quality datasets and apply various analytical tools to ensure robust, trustworthy research, providing valuable insights and supporting informed decision-making.
Publications
By publishing our findings and methods, we aim to contribute valuable knowledge and foster collaboration within the community. This open-access approach encourages the exchange of insights, allowing institutions to refine methods collectively, thereby enriching technological ecosystem.
Technology Trends
Emerging technologies like are transforming the world, bringing both risks and opportunities. It’s essential to work with public and private sectors, academia, and civil society to develop and adopt these technologies, set international standards for responsible use, and maintain a technological edge.
Cybersecurity Landscape
The Swiss National Cyberstrategy (NCS) recognizes cybersecurity research as vital for strengthening Switzerland’s defense against cyberthreats. While the current landscape is not fully understood, the goal of the Observatory is to create a comprehensive view of the ecosystem including academia, stratup and industry.
Building a community-driven and actionable Technology Intelligence for National Security, Market Research, and Strategic Management.
Part of the Swiss Technology Observatory community gathered in 2022 and 2024 in Sachseln (OW) to discuss current scientific challenges in technology monitoring and forecasting research.
Latest Publications
DDoS Mitigation
Abstract: From 2023 to 2025, the Swiss Federation was targeted by a series of DDoS (Distributed Denial of Service) attacks against multiple governmental websites. While these attacks did not massively affect the Federal Administration's operational capabilities, they...
Threats and Opportunities in AI-generated Imagesfor Armed Forces
Abstract: Images of war are almost as old as war itself. From cave paintings to photographs of mobile devices on social media, humans always had the urge to capture particularly important events during a war. Images provide visual evidence. For armed forces, they may...
AttentionXML VS LLMs: An Empirical Evaluation of Extreme Multi-Label Classification Techniques
Abstract: Extreme Multi-Label Classification (XMLC) plays a pivotal role in organizing and retrieving information in largescale textual collections, by considering a very high number of potential labels for the documents. In this paper, we conduct an empirical...