Security sandbox infrastructure for AI agents
Build a sandboxing and observability company that isolates AI models and agents from tools, libraries, networks, and customer systems, while analyzing agent behavior and providing traces and operational visibility.
From 20VC with Harry Stebbings — The AI Bubble WILL Burst | Should we be fearful of Chinese Open-Source | Jerry Murdock at 21:45
Problem: Containers alone are not considered safe for AI agents, whose probabilistic behavior can cause them to open many environments, use unexpected tools, or expose systems to security problems.
For: Developers and enterprises deploying AI agents that can execute code, select tools, use libraries, or operate against sensitive systems.
Examples
- Docker: said that containers are not safe by themselves and promoted sandboxes as an additional security layer.
Behind this: 11 build steps · 2 tools and how each is used · how to validate demand · 2 more real examples · 4 things the video never answers.