# AI Risk Atlas

> The neutral reference for AI risk, assurance, and insurance: the standards, the regulations, the carriers and MGAs, the assurance vendors, and what they mean for boards, risk and security leaders, and insurers.

AI Risk Atlas is an independent, vendor-neutral reference for AI risk, assurance, and insurance. Pages below are evergreen and primary-source cited. Content may be quoted with attribution to AI Risk Atlas (https://airiskatlas.com).

## Learn (reference)

- [Introducing AI Assurance and AI Insurance](https://airiskatlas.com/learn/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.
- [The AI Risk Stack](https://airiskatlas.com/learn/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](https://airiskatlas.com/learn/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.
- [What Is AI Assurance?](https://airiskatlas.com/learn/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.
- [What Is AI Insurance?](https://airiskatlas.com/learn/what-is-ai-insurance): AI insurance is cover for financial loss caused by an AI system. A guide to how existing policies fall short, the silent AI problem, the new AI-specific products, and the gap they are racing to fill.

## Landscape

- [The AI Risk Timeline](https://airiskatlas.com/landscape/the-timeline): A dated map of how AI assurance, regulation, and insurance developed, from Munich Re's first AI cover in 2018 to the EU AI Act deadlines staged out to 2028.

## Analysis

- [When Does AI Insurance Become Required?](https://airiskatlas.com/analysis/when-does-ai-insurance-become-required): AI insurance is optional until something makes it unavoidable. The argument that two catalysts, regulatory compulsion or a high-profile loss, decide when cover shifts from nice-to-have to table stakes.

## Site pages

- [About AI Risk Atlas](https://airiskatlas.com/about): Who is behind the publication and its editorial principles.
- [Editorial standards and how we verify](https://airiskatlas.com/editorial-standards): The fact-check standard, sourcing, neutrality, and corrections.
- [Downloadable resources](https://airiskatlas.com/resources): An AI assurance readiness checklist and an AI insurance buyer's checklist.
- [Machine access and MCP](https://airiskatlas.com/mcp): Structured datasets, full-corpus text, and per-page markdown for AI tools.