Jiri Setinsky

Jiri is a PhD student at the Faculty of Information Technology, Brno University of Technology, and a researcher at CESNET, the Czech National Research and Education Network. His work focuses on log analysis, anomaly detection, and the application of artificial intelligence methods to large-scale operational data from networks and systems.

Jiri's research aims to improve automated analysis of system logs by combining machine learning, data science, and security monitoring techniques. He is particularly interested in developing efficient and interpretable methods for log parsing, anomaly detection, and monitoring in complex infrastructures. Jiri has participated in several national and international research projects focused on security operations and intelligent log analysis.

Lightning Talk at TNC26

Making logs understandable: the missing step in log automation

Modern digital services generate enormous volumes of log data every second. When something goes wrong, performance drops, or users start reporting failures, engineers turn to logs to understand what happened.

Jiri's participation in the Future Talent Programme 2026 was supported by CESNET.