Running your LLM agents safely: Hands-on with @DockerInc sandboxes @Datasciencedojo
Running your LLM agents safely: Hands-on with @DockerInc sandboxes  @Datasciencedojo
Uploaded June 2026 | Updated September 2026, 2 weeks ago
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, Dan Ndombe, Staff Developer Success Advocate at Docker, explores 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

About the speaker: docker.com/contributors/dan-ndombe

#docker #dockertutorials
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Running your LLM agents safely: Hands-on with @DockerInc sandboxes

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