Your data never leaves your machines
How Cyborg7 keeps files, keys, and context local — and why that quietly changes the security math for using AI at work.
Most "AI employee" products work by uploading your context to their cloud, running the agent there, and sending results back. It's convenient — and it means your code, documents, and credentials take a round trip through infrastructure you don't own. Cyborg7 is built the other way around.
The work runs where the data lives
Your AI employees run on machines you own, using your accounts and your keys. When an agent reads a file or opens a repo, it does so locally — the same way a person sitting at that computer would. There's no separate vendor cloud holding a copy of your workspace.
- Your keys, your subscriptions — agents use the AI accounts you already pay for.
- No data egress by default — files and secrets stay on the machine that owns them.
- Per-machine access control — you decide which agents can touch which computers.
Every action is logged
Control isn't only about where the work runs — it's about being able to see what happened. Every action an agent takes is recorded, so you get a full audit trail: who did what, on which machine, and why. Combined with per-agent freedom levels, that means nothing important happens without a human in the loop.
Why this changes the security math
When work runs locally, the questions your security team actually has to answer get simpler. You're not evaluating a third party's data-handling; you're extending the trust boundary you already manage around your own machines. The result is AI that does real work without expanding your attack surface into someone else's cloud.
