Welcome to the Knowledge Hub

Start here. How to use the Knowledge Hub, who in your company to pull in, and a lighter path if you're a small team.

How the Knowledge hub is organised

  • Foundations — orientation: framework, scope, glossary, sector guidance, what changed in 2026.
  • Controls — the day-to-day playbooks: data inventory, human oversight, vendor due diligence, bias testing, incidents, Copilot governance, Purview for AI, agentic AI, red-teaming.
  • Updates — the 2026 EU AI Act calendar and the current enterprise AI tools market.

Tiering — what is free vs paid

  • Foundation (free on every plan) — orientation, the six core control playbooks, the Copilot governance primer, the EU AI Act calendar, and the 2026 market scan. Everything you need to stand up a defensible baseline.
  • Essential — implementation playbooks: Data Governance Framework, Roles & Accountability Charter, Incident Response Plan, Pre-Verification Checklist, Purview for AI, deep-dive bias testing techniques (Fairlearn, Aequitas, HELM, Giskard).
  • Professional — advanced material: AI Change Management Protocol, Board AI Governance Reporting, managing agentic AI, structured red-teaming and evals against OWASP LLM Top 10 2025.

Do this Monday

  1. Open Welcome (this article), then How the AI Assured Framework is structured to learn the four pillars.
  2. Use What to include in your assessment scope to write a one-page scope statement.
  3. Pick three controls articles relevant to your top risk and use them to brief your team.

Reviewer hot-buttons

  • Can you explain how each control maps to a specific clause of the EU AI Act, NIST AI RMF or ISO/IEC 42001?
  • Is the hub being used? Reviewers like to see article links cited in your evidence pack.