PyData Rhein-Main I Security Risks in AI & Structured Automation with Agentic AI

Name: PyData Rhein-Main I Security Risks in AI & Structured Automation with Agentic AI
Start: 2025-09-24T17:00:00+02:00
End: 2025-09-24T19:00:00+02:00

Hosted By

Alexander C. S. H. and Jurik S.

PyData Rhein-Main I Security Risks in AI & Structured Automation with Agentic AI

Details

Topic: AI & Data Science in practice
Venue: In person in Darmstadt and live on PyData.TV on YouTube

Agenda
5:00 pm Doors open & Welcome
5:10 pm Patrick Fleith
5:30 pm Sebastian Krauß
5:50 pm · Alexander C. S. Hendorf
6:10 pm Networking with snacks and beverages

🍿 How to join remotely
https://events.teams.microsoft.com/event/5673f5fe-a73c-4a41-864f-e1dce55f1b9e@9a5cacd0-2bef-4dd7-ac5c-7ebe1f54f495

⚡️ Lightning Talks
Feel free to submit a proposal

How to sign up for on site
It's important for us to make this meet up happen in a responsible way. We have limited seats available only.
No limits to sign up remotely!

This event will be in English.

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Talk #1
An introduction to synthetic datasets to accelerate your LLM projects
Patrick Fleith
Senior Data Scientist | LLM Engineering

Talk #2
Security Risks in AI
Sebastian Krauß
AI Test Developer@Validaitor
In this session, we’ll take a closer look at the security risks that come with integrating LLMs into applications. LLMs can be powerful allies in cybersecurity — helping with detection, testing, and protection — but they can just as easily be exploited for attacks. We’ll explore key threats such as prompt injection, jailbreaking, and agent-specific vulnerabilities, and discuss why they are currently seen as the most pressing risks. Finally, we’ll look at defense strategies, from prompt-level safeguards to system-wide controls, and show how best practices can make a real difference in securing AI systems.

About the Speaker
Sebastian is an AI Test Developer at Validaitor. With a background in Mechatronics and Autonomous Systems, and hands-on experience at Bosch, Fraunhofer, and in international research settings, Sebastian focuses on the intersection of AI robustness and real-world deployment. His current work involves developing methods to test AI models for vulnerabilities, adversarial risks, and secure behavior—ensuring AI systems perform reliably and ethically.

Talk #3
Structured Automation with Agentic AI: Lessons from Community Operations
Alexander C. S. Hendorf
AI & Data Strategy and Implementation @ opotoc GmbH
This talk presents a technical case study of applying agentic AI systems to automate community operations at PyCon DE & PyData, treated as an open-source testbed. The key lesson is simple: AI only works when put on a leash. Reliable results required good architecture, a clear plan, and structured data models — from YAML and Pydantic schemas to reproducible pipelines with GitHub Actions. With that foundation, LLM agents supported logistics, FAQs, video processing, and scheduling; without it, they failed. By contrasting successes and failure modes across different coding agents, the talk demonstrates that robust design, validation, and controlled context are prerequisites for making agentic AI usable in real-world workflows.

About the Speaker
Alexander is a data intelligence and AI expert with over 20 years of experience in digitalization and data-driven decision-making. As an independent consultant, he's specialized in AI & data strategy and implementation. A frequent speaker and chair at international conferences like PyCon DE, PyData Berlin, and EuroPython, he is also a Python Software Foundation Fellow and EuroPython Fellow. He serves on the board of the Python Software Verband and, since 2024, has also been leading Pioneers Hub, a non-profit dedicated to supporting tech communities.

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Acknowledgements
Also a big thank you to our partners: