Your AI agent has no security layer.
AI agents make payments, query databases, call APIs, load models, and connect to other agents -- all without a human in the loop. The operating system they run on has no idea any of this is happening. It sees a process. It manages memory. That's it.
The OS doesn't know which agent is making a request. Doesn't sign what agents send. Doesn't verify what they receive. Doesn't keep a tamper-proof record of what happened.
We indexed 1,900+ MCP servers. 99.4% have no cryptographic identity. No message signing. No way to verify that a response is genuine.
The Pattern
Developers don't add security unless the platform makes it the default.
HTTPS didn't win because every developer chose to implement TLS. It won because browsers marked HTTP as "Not Secure" and cloud providers issued free certificates. The platform enforced what developers wouldn't.
Agent security will follow the same path.
LAInux
We built LAInux. An operating system where AI agents get trust enforcement by default.
Deploy your agent. The OS handles the rest. No code changes. No libraries to add. No middleware to configure.
Security is a property of the environment, not the application.
Who It's For
- AI builders -- deploy your agent, it gets security automatically
- Enterprises -- run your agent fleet with policy enforcement built in
- Regulated industries -- compliance built into the platform
What's Behind It
We didn't start with the OS. We started with the components, the standards, and the research:
- 6 IETF Internet-Drafts
- OWASP MCP Security Cheat Sheet (Section 7)
- CIS MCP Benchmark (invited contributor)
- 6 CVEs filed across the MCP ecosystem
- npm packages shipping today (mcp-secure, agentsign, model-secure)
LAInux is the layer that ties it all together. One install. Zero code changes.
Patent pending. Coming soon. lainux.co.uk
Raza Sharif, CEO, CyberSecAI Ltd
contact@agentsign.dev | cybersecai.co.uk
