v0.1.0

Training

AI Control Architecture — Practitioner Course

A hands-on course that takes you from "what is AI control?" to running a full assessment on a real AI use case — and proving the result. It's the fastest way to put the architecture to work in your own organisation.

~2.5 hours 12 modules Practitioner level Open · CC BY 4.0

Who it's for: security architects, AI governance and risk teams, privacy, compliance, internal audit, and the engineers building AI — anyone who has to answer "is this AI under control?" and prove it.

By the end, you'll be able to:

  • Inventory and risk-tier any AI use case
  • Select the graduated controls that apply at its tier
  • Grade how strongly each boundary holds — Declared → Evidenced → Verified → Enforced
  • Collect audit-ready evidence and run an assessment end to end, reusable across obligations

What's covered

01  Why AI control
02  See · Decide · Do
03  Proving a boundary holds
04  Inventory & Identity (07–08)
05  Data & Input boundaries (09–10)
06  Output & Action control (11–12)
07  Human accountability (13)
08  Assurance, monitoring, recovery (14–16)
09  Risk tiering
10  Assurance & evidence
11  Running an assessment
12  Adoption, maturity & governance

Course slides

The course is being finalised, including a hands-on walkthrough of installing and using the ACA tools. Full slides and an on-demand video course are on the way.

🎓
Coming soon
The full practitioner slides and a recorded, self-paced video course are being finalised. Check back shortly, or start applying the architecture now with the quickstart and templates below.
On-demand video on Coursera, coming soon

Put it into practice

The course pairs with the open specification and the reusable templates. Start with the Quickstart, keep the Templates open as you go, and use the Resources for the executive pack.

Licensed CC BY 4.0 · stewarded by Neo Control. Want to run this as an instructor-led session for your team? Reach the stewards.