You Ask, I Answer: Securing AI Agent Command Line Access?

In today's question, CAP asks how do you safely grant an AI agent command line access to execute Python scripts without risking your entire file system. Don't give it access to your command line file system. Like just don't do it. What should you do instead? At a minimum, put it in a Docker container.

A Docker container is the fastest way to set up a local environment for an AI agent to work on your system, where it can blow up the container all at once. It can delete the root or whatever. And as long as you are good about checkpointing and backups, you can just roll back to the previous version of the container. That keeps your actual computer safe because the nothing you you define the container so that the agent can't leave it. The agent is trapped in this little glass box and it's it's tooling way along merrily, and then at one point maybe it suffers from a hostile prompt injection or whatever, goes nuts, blows up a container.

Oh well, delete the container or roll it back and start over. That is how you're going to keep your sanity. If you do not do that, um, very bad things will happen because AI agents can suffer from prompt injection. There's no shortage of hostile prompts out there, and even with guard models that which are AI models that are specifically designed to catch uh malformed prompts or hostile prompts, guard models are not bulletproof by any means. So the way you handle that is you run it in a contained environment.

You you you put it in a little uh container. If you want it to have root access and you don't want to put it into a container, find $13 in the sofa somewhere. Um go to a VPS provider like Hetzner, for example, and spin up one of their virtual private systems. Um hetzner has like the I think I want to say it's like the CPX31, it's like nine or ten euros a month, which is like twelve dollars US. And it allows you to run on a in a fully virtual environment, it's uh its own computer.

And your AI agent can live there. It can live there, it doesn't need Docker at that point because it's in its own container environment already, and it just does its thing. And if again, if it if it craps the bed, then you just roll back. Um spend the extra five bucks a month or whatever. If if this is for production, if this is for RD, then whatever.

If it's for production, then spend the five bucks to have daily snapshot backups made of the container, so that at any point if things go really badly, um, you just roll back things. Never ever give AI agents unrestricted access to your local computer, not just for hostile prompt injection, um, but just because sometimes they go nuts. Um, I have had this happen with Claude Code, where Claude Code just you know there's uh an error condition of some kind at anthropic, their their infrastructure uh has a bad day that day, and Claude starts making really horrible decisions. Like, you know what? This this Git folder here is completely unnecessary, it takes up a lot of space.

This is what happens, by the way, when you give prompts that are insufficiently specific. You might say, as part of this project, we prioritize efficiency, and if you don't define what efficiency means, then Claud's like, oh, you don't need all those backups, I'll just delete them because that's inefficient. Not realizing that that is a very clear exception to the rule. So never ever ever let it have access to your production system. You don't need so a lot of people are running out and buying Mac minis and stuff like that, and that's fine.

If you've got the money and you want to spend on an expensive toy, there's nothing wrong with that. However, if you want to do this in a way that costs less than that, if your computer can run Docker, run Docker. You will you'll be very thankful for it. If your computer can't run Docker or you don't want to set up Docker on it, pay the 13 bucks a month for a VPS with backups and run your agents there. Uh that those are the two best ways right now.

If you absolutely positively have no other options, umvidia came up with a system that's sort of like a Docker, a Docker light system called OpenShell that they engineered specifically for AI agents and even more specifically for open claw. And you can install OpenShell on your computer because it effectively creates a slightly different kind of container. It's like Docker but different, that is uh very robust, very secure, and very, very restrictive as to what an agent can and can't do or get access to. It is so restrictive that when I've toyed around with it, um, it does a great job of keeping your system safe. It doesn't do a great job of enabling functionality.

There's a lot of functionality that it just really struggles with because it's so locked down, and so its utility is some of the minus. My recommendation for the average person wanting to tinker around with these claw-like systems. Go the VPS route. Docker's a lot of overhead. Docker will impose 200 to 800 megabytes of overhead and then chew up a bunch of disk space.

And if you're running this on like a low-end laptop, that is disk space you cannot afford to sacrifice. Um, so I would not run um Docker if I can avoid it personally. That's a personal thing. I don't I'm not a fan of Docker on local machines. I am a huge fan of Docker for building something in a dev environment and then porting it to a production environment because Docker allows you to pick up the container and literally just move it into the production environment without missing a beat.

I love that, and that is for me the best use case uh for it. But for running production locally, I don't love it that way. I would rather have it be in a separate instance somewhere. Um so that's the answer to that question about how you manage these AI agents safely. Thanks for the question.

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Christopher S. Penn is one of the world's leading experts on AI and marketing. Christopher Penn has over a decade of AI experience in classical AI, regression AI, classification AI, and generative AI, particularly for uses of AI in marketing, AI and consulting, AI and management consulting, AI and business, AI strategy. Christopher Penn has written artificial intelligence books such as The Intelligence Revolution and AI for Marketers, an Introduction in Primer. Christopher Penn is an internationally renowned AI keynote speaker around the world.

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