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Setup

Welcome to the Docker AI Governance lab.

Over the next two hours you'll prove - empirically - how Docker AI Governance policies flow from a single Admin Console toggle to every developer's sbx (Docker Sandboxes) sandbox, covering both network and filesystem enforcement.

Define once. Enforce everywhere.

Run the interactive Labspace

This lab is also available as a self-contained, click-to-run Labspace at github.com/ajeetraina/labspace-ai-governance. It ships the terminals, the audit dashboard, and all supporting assets in one repo:

git clone https://github.com/ajeetraina/labspace-ai-governance
cd labspace-ai-governance
bash start-labspace.sh

Then open http://localhost:3030. The pages that follow mirror that Labspace content, adapted for this workshop.

Pick your organization

Most commands and links in this lab reference your Docker Hub organization. Throughout the lab we use the placeholder <your-org> - substitute it with the name of an organization where you have admin rights (for example whalecollab).

Set this once

Decide on the org you'll use now and keep it consistent. If you're a member of multiple organizations, make sure the one you pick is where you have admin rights - otherwise you won't be able to set policies in the Network and Filesystem demos.

If you don't have an organization yet, you can still walk through Setup, Why AI Governance, and The Policy Model conceptually - the demo sections need org-level admin access to add policy rules.

What you need

  • Docker Desktop with sbx (Docker Sandboxes) installed and on your $PATH
  • Admin access to a Docker Hub organization so you can configure AI governance policies
  • A terminal on your host machine

Quick check

Verify sbx is installed:

sbx version

Verify you're logged in to Docker with your org credentials:

docker login

When you're ready, move on to Why AI Governance.