SecAppDev 2025 Faculty
Tim Van Hamme
Post-doctoral researcher, DistriNet, KU Leuven
Tim Van hamme is a computer scientist specialized in AI security and behavioral analysis, leading research at KU Leuven's DistriNet on secure and trustworthy AI adoption. As co-lead of Blue41, he bridges rigorous academic research with industry applications, helping organizations safely deploy AI systems. With experience spanning from CERT.be's threat intelligence infrastructure to behavioral biometrics and AI agent security, Tim combines theoretical expertise with practical solutions for emergent AI security challenges.
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Grab your seat nowLLM Security Bootcamp: Foundations, Threats, and Defensive Techniques
One-day workshop by Thomas Vissers and Tim Van Hamme
Large Language Models (LLMs) open up a new realm of possibilities in application development, but they also pose significant challenges. Their non-deterministic nature and broad use cases complicate testing, while unpredictable failures (“hallucinations”) and novel attack vectors (“prompt injections”) add risk.
This workshop covers LLM-based applications, highlights unique threats, and offers hands-on testing and hardening techniques. Attendees will learn to set up and secure basic LLM-driven solutions in their organizations.
Learning goal: Learn how LLM applications work and are architected, the unique security challenges they introduce, and the current best practices in LLM security—along with their limitations.