Is it just us, or is the infrastructure side of building AI agents completely lagging behind the models themselves? 😅
We have been building heavily with OpenClaw lately. Writing the prompts and testing the autonomous loops takes hours. But the moment we try to move from "cool local script" to "production-ready," we hit a wall. Suddenly, we are spending 90% of our time figuring out reverse proxies, auth headers, and token routing just so our OpenAI bill doesn't get spiked by a random bot.
Because of our team's cybersecurity background, we got curious and ran some scans last week. We found that 135,000 open-source agent instances are fully exposed to the public internet right now. Developers are literally saying, "I'll fix the security later," and leaving the front door wide open to prompt injections and token draining.
Please, wrap your agents!
If you are deploying this weekend, do not expose the base port. Write a quick Express middleware or use Nginx to bounce unauthenticated requests. Protect your API keys!
Curious to hear from the builders here—are we all just collectively accepting the security risk to ship faster, or have you found a stack that actually makes securing AI agents painless?
Top comments (1)
It’s not just about DDoS attacks; an exposed endpoint means anyone can pass a malicious context payload and completely hijack your agent’s reasoning loop. We have to start treating AI deployments with the same strict security standards we use for traditional web apps.