Insight Session | Cyber

Large Language Models (LLMs) are reshaping critical business functions, from customer service and software development to process automation. Their integration, however, introduces new and significant risks that demand rigorous oversight. 

TÜV AUSTRIA cordially invites you to an expert-led webinar dedicated to the security, reliability, and regulatory compliance of LLM-based systems. The session will provide a structured examination of key risk factors, including prompt injection, data leakage, and model misuse, and will present proven strategies for building secure, resilient, and certifiable AI solutions.  Drawing on practical case studies and authoritative guidance aligned with European and international standards, our experts will equip participants with the insights needed to safeguard LLM deployments in mission-critical environments. 

This webinar is particularly relevant for software developers, cybersecurity professionals, and compliance officers committed to ensuring that AI-driven applications meet the highest standards of trust, safety, and certification readiness. 

Practical details:

1. Welcome & Introduction 

2. LLM Applications: Opportunities and Risks 

3. Security Challenges in LLM Systems 

4. Designing Secure LLM Architectures 

5. Conclusion, Next Steps & Interactive Q&A Session 

Hans Tierens

Hans Tierens is a Senior Machine Learning Engineer with a PhD in Business Economics and over four years of experience in AI, machine learning, and data-driven innovation. He has led projects in generative AI, LLMOps, anomaly detection, and AI-driven chatbots, delivering solutions across industries such as finance, telecom, and manufacturing.

Before joining TÜV AUSTRIA Belgium in 2025 as Senior Data Intelligence Engineer, Hans worked at Dataroots, where he progressed from engineer to team lead and drove innovation in Edge AI and AI sustainability. His academic background includes doctoral and post-doctoral research at KU Leuven and the University of Luxembourg, with published work on statistical methods and applied AI.

At TÜV AUSTRIA, Hans contributes to the Digital Intelligence and Innovation portfolio, helping organizations implement secure, reliable, and certifiable AI solutions.

Kurt Neuskens

With over two decades of experience in the IT industry, Kurt Neuskens has dedicated his career to explore and advance business intelligence and data analytics. His extensive background includes a specialization in qualitative data applications, overseeing the implementation of both descriptive and predictive analytics. He has contributed his expertise to organizations such as Eurofins Digital Testing, InnoEnergy, and UZLeuven. 

Kurt is highly skilled in the use of artificial intelligence, with a particular focus on large language models, which positions him to adeptly navigate the evolving landscape of AI technologies. In recent years, his responsibilities have broadened to include the management of AI-driven projects, reinforcing his solid foundation in AI governance and practical application. Additionally, he is an accredited trainer for ISTQB (International Software Testing Quality Board) AI tester.