p;
According to NanoClaw, agents run in MicroVM-based, disposable isolation zones within Docker Sandboxes; therefore, if an agent tried to escape by exploiting a vulnerability, it would remain contained.
"Every organization wants to put AI agents to work, but the barrier is control: what those agents can access, where they can connect, and what they can change," said Docker president Mark Cavage. "Docker Sandboxes provide the secure execution layer for running agents safely, and NanoClaw shows what's possible when that foundation is in place."
How to secure your claw build
If you want to try out OpenClaw, NanoClaw, or any number of claw forks out there, you need to remember that when skills are enabled, and permission has been granted, these agents can deploy and run code on your behalf, access credentials, communicate for you, make purchases, and more -- depending on the abilities you have granted your AI assistant.
While powerful, this can also be extremely dangerous without containment. Boundaries have to be established to retain control of your accounts, information, and potentially, your online identity.
It is recommended that you only use this technology in a container or sandbox environment, as there's no other secure option at the moment.
"A single compromised agent can access credentials, read session histories, and reach data belonging to entirely separate agents," NanoClaw's team noted. "Application-level permission checks don't offer sufficient protection. What is required is OS-enforced isolation: each agent in its own safe environment, with its own filesystem and session history, invisible to every other agent running alongside it."
Originally published on March 14, 2026 by ZDnet.
