Applying 17 years of cybersecurity to the AI Agent boom (and what we found)

Hey Peerlist! We wanted to share some insights from what our team has been working on lately.

For the last 17 years, we’ve been deeply embedded in the cybersecurity space. But over the last few months, we fell down the rabbit hole of agentic workflows and frameworks like OpenClaw.

While the AI models are incredible, we noticed a massive, terrifying gap: the infrastructure to securely deploy these agents is almost non-existent.

We recently ran an analysis and discovered 135,000 exposed OpenClaw instances sitting on the public internet, completely vulnerable to prompt hijacking and API token draining. Builders are spending all their time on AI logic, and completely ignoring the DevOps/Security side because the friction is just too high.

It made us realize that the AI gold rush is happening, but nobody is building the secure roads.

We are currently heads-down building a streamlined infrastructure solution to fix this exact problem, combining our security background with AI deployment.

To the makers and engineers here on Peerlist:
How painful is the gap between your local AI testing and your secure production deployment right now?
Would love to connect with others building in this space!