Tutorials
Linux Hardening Checklist for Self-Hosted AI Servers
Apply a practical Linux hardening baseline before you host AI services on a public or private server.

Linux Hardening Checklist for Self-Hosted AI Servers
Before you install AI services, make the host itself harder to misuse. A small amount of baseline hardening reduces the chance that one mistake turns into a full compromise.
Start with the operating system
Begin with How to Secure a Self-Hosted AI Server and make sure patching, SSH access, and account management are sane before you layer on Docker or reverse proxies.
Reduce the number of moving parts
Disable services you do not use, remove default accounts, and keep the host focused on a small set of jobs. A simpler server is easier to defend and much easier to troubleshoot.
Harden the service layer
Once the OS is tidy, apply the deployment guidance in Harden Docker Compose Stacks for Local AI Services so your application containers do not undo the host work.
Keep the edge honest
If the machine is public-facing, add the route and TLS controls from TLS Hardening Checklist for Caddy on a Self-Hosted AI Server to reduce easy mistakes.
Conclusion
Linux hardening works best when it is consistent. Tighten the host, keep the services boring, and re-check the baseline after every major change.


