AI coding tools that survive an enterprise security review
SOC2, on-prem, data residency, VPC peering. Which AI coding tools actually check the boxes your InfoSec team cares about.
The consumer AI coding conversation is fun. The enterprise one is not. InfoSec wants SOC 2 Type II reports, data flow diagrams, model hosting clarity, and a story for what happens when a regulator asks what touched the code.
The shortlist
Four tools dominate enterprise proposals right now:
- Tabnine — SOC2 Type II, air-gapped install available, "Protected" model where code never leaves the network
- Cursor Enterprise — SOC2, SSO, admin console, Privacy Mode routes away from training corpora
- GitHub Copilot Enterprise — SOC2, tied to existing GitHub Enterprise tenancy, inherits your audit story
- Self-hosted OpenCode + a private model — the budget option that no vendor will sell you
Questions to actually ask vendors
Skip the marketing. Ask: Where does my code go? Who trains on it, and for how long? Is there a zero-data-retention option? Do you have regional hosting? What happens on a breach — do I get notified, and how fast?
The dark horse: self-hosted
If your InfoSec team has the muscle, self-hosting OpenCode (or any OSS tool) with an on-prem Llama-class model is the safest posture. Nothing leaves the building. The cost is engineering time, not vendor fees.
Isolate self-hostable tools