SecurityHands-on Lab180min
Building secure AI agents with Quarkus LangChain4j
This hands-on workshop teaches participants to build and secure AI agents using Quarkus LangChain4j. Attendees will create an AI agent, implement defenses against prompt injection, configure authentication and authorization, and add monitoring. With guided exercises, it equips developers to safely integrate AI agents into enterprise applications.
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Willem Jan GlerumLunatech
Radek KargulLunatech
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Friday, June 19, 11:30-14:30
Room Lab 2
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In this hands-on workshop, participants will learn how to create and secure AI agents leveraging Quarkus LangChain4j. As AI agents are used more and more within enterprise applications, securing them has become a critical concern. You for example don't want your agent to drop your database, execute privileged actions or leak your sensitive customer data by accident.
Workshop participants will:
This workshop is suitable for developers new to AI and more experienced engineers who want to learn how to include and secure AI agents in their projects. Some basic knowledge of Java and Quarkus is helpful but not required.
Workshop participants will:
- Set up a Quarkus project with LangChain4j extension
- Build a basic AI agent that can interact with business applications
- Implement security measures to prevent prompt injection attacks
- Configure authentication and authorization for AI agent actions
- Structure the application for maintainability and security
- Add appropriate monitoring and audit logging
This workshop is suitable for developers new to AI and more experienced engineers who want to learn how to include and secure AI agents in their projects. Some basic knowledge of Java and Quarkus is helpful but not required.
Willem Jan Glerum
Willem Jan is a Principal Software Engineer at Lunatech who loves building cloud software and contributing to open source. He's all about writing quality code and finding ways to automate anything. Willem Jan has been working with Quarkus since the beginning and enjoys making sure his applications are both simple and secure. On weekends, you won't find him behind a keyboard - he's either out enjoying nature or volunteering with his local scout group.
Radek Kargul
Radek has a background in Software Engineering, ML, and AI from his undergraduate and postgraduate studies at TU Delft. He recently graduated with his Master’s Thesis in Explainable AI (XAI) for large language models (LLMs). He sees great potential in integrating and understanding how ML/AI can be integrated into software.
Moreover, he spends his mornings and evenings making people sweat as a group fitness instructor. With a passion for tech and fitness, Radek loves helping desk warriors optimize their code and health. When he’s not debugging software or coaching group workouts, you can find him experimenting with new workout routines, geeking out over biomechanics, or trying to convince their coworkers to do squats during stand-up meetings.
Moreover, he spends his mornings and evenings making people sweat as a group fitness instructor. With a passion for tech and fitness, Radek loves helping desk warriors optimize their code and health. When he’s not debugging software or coaching group workouts, you can find him experimenting with new workout routines, geeking out over biomechanics, or trying to convince their coworkers to do squats during stand-up meetings.