Your perimeter
Deploy inside your network. Keep source, application data and model traffic under your control.
PhiWebs Code is built for organizations that need to explain how AI changes are made, reviewed and released. The controls live in the workflow itself, where reviewers and auditors can see them.
Deploy inside your network. Keep source, application data and model traffic under your control.
Connect your identity provider and grant access through roles, not shared credentials.
A human approval gate sits between an AI change and the environment that serves users.
Every release keeps the change and approval record available for audit and investigation.
Model access is part of your deployment design. Use your own provider, your own gateway and the network controls your security team already operates.
The goal is a workflow where the important answers already exist when someone asks for them.
Use your existing identity provider, role model and joiner/leaver process.
Keep policy checks, approvals and the final diff attached to the release.
Separate application secrets from the code and keep them inside your environment.
Export the record, inspect the logs and keep release history available.
We would rather answer specific questions than imply certifications we do not hold. For an evaluation, ask us for the current security overview, deployment notes and data-processing terms.
Your team should be able to test the deployment model, identity flow and audit export before a production rollout.