Do you actually know who has access to your servers right now?
CtrlOps gives you a security hardening score across 25 checks, a PDF audit report, and fix commands for every issue found. See who can log into every server, revoke access from your whole fleet in one click, and assign any level of roles/access without touching the terminal. Every log file, found and searchable without SSH. Deploy any app from GitHub in minutes. 100% local. Your credentials never leave your machine.
Most devs manage servers from a spreadsheet of IPs and commands nobody remembers. CtrlOps gives you AI-powered server management without DevOps expertise. AI terminal that generates commands with your approval. Scripts library. One-click deploys from any GitHub repo. Visual file manager. Real-time server monitoring. Zero agents on servers. Deployments that took 60 minutes now take 5. 100% local. Your credentials never leave your machine. Mac. Windows. Linux.
The approval flow is the part I d want to see most clearly on a product like CtrlOps. For teams using AI around SSH or production infra, the scary moment is not command generation; it is deciding whether the next command is allowed.
What proof does the operator get before approval? For example: exact command, expected blast radius, prior command output, remaining debug context, and whether this is a new failure state or just another retry.
Curious how you think about that boundary, especially for teams mixing read-only prod users with fuller staging access.
