Running LLM Agents Safely: Hands-On with Docker Sandboxes

As AI agents become more capable of calling tools, writing files, executing code, and interacting with external systems, LLM agent security has become a critical requirement for building safe and reliable AI applications. In this session, we explore practical approaches to running LLM agents safely using Docker Sandboxes (SBX), focusing on isolation, permissions, and secure execution environments. What is covered: • Why LLM agent security matters in modern AI systems • Risks of autonomous agents and unrestricted tool use • How Docker Sandboxes provide secure isolation for AI agents • How to run and test LLM agents in controlled environments • Practical techniques for managing permissions and execution boundaries • Best practices for building secure, production-ready AI agents ----------- 👉 Learn more about Data Science Dojo here: https://datasciencedojo.com/ 👉 Watch the latest video tutorials here: https://datasciencedojo.com/tutorials/ 👉 See what our past attendees are saying here: https://datasciencedojo.com/data-scie... -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 8000+ employees from over 2000+ companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- 🔗 Subscribe to our newsletter for data science content & infographics: https://datasciencedojo.com/newsletter/