Katja Tuma

Katja Tuma is a Visiting Research Fellow at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Computer Systems department and the Network Institute. Her primary research focuses on cybersecurity, threat analysis, and secure software design. She explores the intersection of human factors, artificial intelligence, and traditional security practices to enhance system resilience.

• Affiliations: Faculty of Science, Network Institute, Computer Systems
• Key Research Areas: Threat Modeling, Security Compliance, Large Language Models in Security, Gender Dynamics in Security Training

Her work emphasizes practical applications such as automated security repair, validation of security designs using data flow diagrams, and addressing human biases in security decision-making. Tuma has contributed to projects like a training framework for industrial cybersecurity skills and certification mechanisms for software supply chains.

Recent publications highlight challenges in using LLMs for code generation, the role of gender in security evaluations, and improving threat analysis replication methodologies. She teaches courses on data structures for AI and security experiments, bridging theoretical concepts with real-world applications.

• Notable Projects: Personalized Cybersecurity Training Framework (2023), Assurance in Open Software (2020-2023)

Her research also addresses emerging areas like AI-augmented security pipelines and uncertainty management in AI-driven threat intelligence, reflecting a commitment to both technical innovation and socio-technical security challenges.