Developer Tools✓ Generally Minimal Risk2/10

Cursor AI

AI-native code editor with embedded AI code generation, completion, and refactoring. Internal developer productivity tool with no direct impact on individuals other than the developer.

✓ EU AI Act Risk Classification

Indicative classification: Generally Minimal Risk

Legal reference: Minimal risk — internal developer productivity tool

Important: This is an indicative assessment based on typical deployment patterns. Your actual risk classification depends on your specific use case, configuration, and context. Register in Aeqora to get a precise classification using the EU AI Act decision tree.

Your obligations as a Deployer

→No mandatory EU AI Act obligations for internal developer use
→Review code IP and data processing terms
→Document in AI system inventory as good governance practice

How this score was derived

Methodology →

Scores 2/10: Developer-facing code generation AI with no consequential decisions about individuals. Same minimal-risk classification as GitHub Copilot. No EU provider documentation published. IP and code confidentiality considerations are the primary governance concern rather than EU AI Act regulatory obligations.

Provider EU AI Act documentation

Cursor AI has not yet published dedicated EU AI Act compliance documentation. Contact them directly to request instructions of use and ask about their compliance roadmap.

What to do next

01

Register in Aeqora

Add Cursor AI to your AI system inventory and run the classification wizard for your specific deployment.

02

Request vendor docs

Ask Cursor AI for their EU AI Act instructions of use and technical documentation.

03

Generate compliance pack

Generate your Article 26 Deployer Compliance Evidence Pack once classification is complete.

Aeqora. "Cursor AI — EU AI Act Risk Assessment." Aeqora Vendor AI Risk Index. Verified 2026-06-12. https://aeqora.eu/vendors/cursor-ai

Scores are methodology-derived and citable under CC BY. View methodology →

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Badge links to this page. See methodology for classification details.

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