Just posted to my Forbes column about a fascinating shift happening in the AI agent world, and why security may become the most important part of the story.
AI coding agents like OpenClaw are exploding in popularity. People are using them to build slides, manage email, pick stocks, and even run social media. But giving autonomous software access to your files, systems, and accounts comes with serious risks. Many early agent frameworks have few guardrails, and some OpenClaw add-ons have already been flagged as outright malicious.
That’s where a newer project called NanoClaw enters the picture. It takes the same powerful agent concept but focuses heavily on security by default. Agents run in isolated environments, can’t access each other’s data or credentials, and operate with stronger system-level protections. And now Docker is adding another layer with its Docker Sandboxes, creating controlled environments where agents can run safely and, if something goes wrong, fail without damaging the rest of the system.
“Every organization wants to put AI agents to work, but the barrier is control,” Docker’s Mark Cavage says. The broader takeaway is clear: if AI agents are going to become real digital coworkers, they will need the same kind of infrastructure and security foundations that cloud applications rely on today.