How to Run Untrusted AI Agent Code Without Docker
The article discusses the risks associated with running untrusted AI agent code in Docker containers. It emphasizes the need for better isolation methods, such as using microVMs, to prevent potential exploits. Recommendations include implementing strict egress controls and keeping software up to date to mitigate vulnerabilities.
- ▪Docker shares the host kernel, which poses security risks when untrusted AI code is executed.
- ▪Using hardware boundaries like Firecracker can provide better isolation for untrusted workloads.
- ▪Default-deny egress policies are essential to prevent compromised agents from exfiltrating data.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 118552) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ToxSec Posted on May 29 • Originally published at toxsec.com How to Run Untrusted AI Agent Code Without Docker #security #ai #devops #containers Docker shares the host kernel. That was always the trade. It was fine when a human read the script before it ran. It stopped being fine the second an LLM started writing code at runtime off a prompt nobody pre-screened. So here's the practitioner version: what to actually run when your agent executes code you've never seen.
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