Capable of autonomously planning, deciding and acting, agentic AI systems are rapidly moving from research labs into production environments. This shift introduces a new class of security challenges: how do you control an AI that controls other systems? How do you audit decisions made autonomously, at scale? In this 6-month internship or master thesis starting in February 2027, you will conduct applied research on how to build secure agentic AI architectures and help shape the foundation of a practice at the intersection of AI innovation and enterprise security.
Tasks
- Conduct literature review and threat landscape mapping: survey research on AI agent security, known attack vectors and emerging AI risk frameworks, and identify gaps
- Build a taxonomy of agentic AI risks covering multi-agent architectures, tools, memory mechanisms and autonomous decision chains
- Define security design principles and reference architectures covering sandboxing, access control, auditability and human oversight
- Design and implement blueprints of secure-by-design agentic architectures as reusable reference implementations
- Benchmark the effectiveness of defenses against documented threat scenarios with measurable, reproducible results
- Deliver a final report and internal presentation summarizing findings, methodologies and recommendations
Requirements
- Strong cybersecurity knowledge (authentication, access control and authorization, threat modelling, security by design, etc.)
- General understanding of how AI systems work, ideally with some exposure to large language models and agent-based architectures
- Some proficiency in writing and reading code (ability to prototype, experiment and automate)
- Please include your latest academic transcripts with your application. Applications submitted without transcripts will not be considered.
Benefits
- A dynamic, collaborative workplace with a highly motivated, multicultural team working across international sites
- The chance to work on what could be the next generation of architecture
- Good work-life balance (2 days per week from home)
- Monthly After-Works organized at each location
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Das Team
A highly motivated, multicultural team working across international sites.