Annotation
As AI systems gain autonomy and tool-using capabilities, their security becomes significantly more complex. This lecture introduces the emerging field of autonomous agent security, highlights key attack vectors and design vulnerabilities, and discusses current research directions for building robust and trustworthy agentic systems.
Intended for students, professionals, and members of the public interested in understanding the next major challenge in AI safety.
Benefits for the attendees, what will they learn:
- What autonomous AI agents are and how they behave
- The biggest security risks and how attackers can exploit them
- Real examples of vulnerabilities in agentic systems
- Practical principles for building and using AI agents safely
- Where AI security research is heading and why it matters
Level
Beginner/Intermediate
Language
English
Prerequisites
Basic interest in AI or modern technology, but no prior knowledge of cybersecurity or programming is required.
Technical requirements
none
Tutor
Dominika Regéciová is a Lecturer at IT4Innovations, focusing on the intersection of AI and security. Previously, she worked as a Senior Researcher at Avast. She holds a master's degree in Information Security from the Faculty of Information Technology at Brno University of Technology (FIT BUT). Her work is driven by a passion for bringing formal theory and advanced AI methods into practical, real-world applications with an emphasis on security and reliability.
LUMI AI Factory is funded jointly by the EuroHPC Joint Undertaking, through the European Union's Connecting Europe Facility and the Horizon 2020 research and innovation programme, as well as Finland, the Czech Republic, Poland, Estonia, Norway, and Denmark.
This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
All presentations and educational materials of this course are provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
