Learn
Learn
The evergreen reference, arranged from the basics to the technical detail. New here? Start at the top and work down.
Start here
New to AI risk? Begin with these.
Introducing AI Assurance and AI Insurance
A plain-language introduction to the two disciplines that manage AI's downside: assurance (proving a system behaves acceptably) and insurance (paying out when it does not), and how they connect.
What Is AI Assurance?
AI assurance is the controls and evidence that justify trust in an AI system: evaluation, security, monitoring, governance, and independent audit. A guide to the categories, the players, and where the market is heading.
Get oriented
The map of standards, and the vocabulary to read the rest.
How it works
The AI risk stack, and how assurance and insurance fit together.
The AI Risk Stack
AI risk is not one thing. It stacks in five layers, from the model itself up to reputation. Naming each layer lets you map it to a control (assurance) and a risk-transfer option (insurance).
The Standards Landscape Explained
There is no single AI rulebook. There is a patchwork of voluntary standards you adopt and binding regulations you must obey. A guide to ISO 42001, the NIST AI RMF, the EU AI Act, and the regional rules, and how they fit together.