Is Cursor safe to use?

Yes, Cursor is safe. It uses a local-first development model where your code stays on your machine. Unlike cloud-based AI builders like Lovable or Replit, Cursor doesn't automatically deploy code anywhere. The main security consideration is reviewing AI-generated code for vulnerabilities before deployment.

Does Cursor send my code to the cloud?

Cursor sends code context to AI models to generate suggestions, similar to how GitHub Copilot works. For sensitive codebases, Cursor offers a Privacy Mode that limits what is shared. Your code is not stored or used for training. You can review their privacy policy for full details.

Can Cursor introduce security vulnerabilities?

Cursor itself doesn't introduce vulnerabilities, but the AI-generated code it suggests can contain security flaws like hardcoded credentials, missing input validation, insecure defaults, and over-permissive CORS. Always review AI suggestions before committing and scan deployed applications.

How do I use Cursor securely?

Use environment variables instead of hardcoding secrets, enable Privacy Mode for sensitive projects, review all AI-generated diffs before committing, use .gitignore for sensitive files, and scan your deployed application with a security tool like VibeEval before going live.

← Back to Safety Analysis

Is Cursor Safe?

Safe

Cursor is safe as an AI-powered code editor. Local-first development means your code stays on your machine. Main concern is reviewing AI-generated code for security issues before deployment.

Local Development Model

Unlike cloud-based AI builders, Cursor runs locally. Your code is not automatically deployed anywhere. You maintain full control over what gets committed and deployed, giving you the opportunity to review for security issues.

Cursor vs Cloud-Based AI Builders

Cursor's local-first model is fundamentally different from cloud-based AI builders. Here's how they compare on security:

Security Factor	Cursor	Lovable / Bolt / Replit
Code location	Local machine	Cloud-hosted
Auto-deployment	No - you control deploys	Yes - code goes live immediately
Database exposure	Not applicable	Supabase API publicly accessible
Review opportunity	Full diff review before commit	Changes applied directly
AI code quality risk	Same risk as all AI tools	Same risk as all AI tools

The key difference: Cursor gives you a review step before code reaches production. Cloud builders deploy AI-generated code directly.

Security Considerations

Code Context Sharing

Cursor sends code context to AI models for suggestions. Use privacy mode for sensitive projects or review their data handling policies.

AI-Generated Vulnerabilities

Like all AI coding tools, suggestions may contain security flaws. Always review generated code before committing.

Extension Security

As a VSCode fork, third-party extensions have the same trust model. Be cautious with unfamiliar extensions.

Credential Handling

AI may suggest hardcoding credentials. Always use environment variables and secrets management.

Common Vulnerabilities in Cursor-Generated Code

While Cursor itself is safe, AI-generated code can introduce vulnerabilities. Based on scanning 1,430+ applications built with various AI tools, these patterns appear frequently in Cursor-assisted projects:

Hardcoded Secrets

Critical

AI frequently suggests placing API keys, database credentials, and tokens directly in source files instead of environment variables. These get committed to git and exposed.

Missing Input Validation

High

Generated code often trusts user input without sanitization, creating SQL injection, XSS, and command injection vectors.

Over-Permissive CORS

High

AI defaults to Access-Control-Allow-Origin: * to avoid development errors, but this gets shipped to production.

Insecure Defaults

Medium

Debug mode left on, verbose error messages exposing stack traces, and missing rate limiting on API endpoints.

Best Practices for Secure Cursor Development

Use Environment Variables

Never accept AI suggestions that hardcode secrets. Use .env files and add them to .gitignore.

Enable Privacy Mode

For sensitive codebases with proprietary logic, enable Cursor's Privacy Mode to limit context sent to AI models.

Review Every AI Diff

Cursor shows diffs before applying changes. Read them. Look for hardcoded values, missing validation, and overly permissive configs.

Scan Before Deploying

Run an automated security scan on your deployed application. Catches issues that are invisible in code review.

Security Assessment

Strengths

+ Local-first development - code stays on your machine
+ No automatic code deployment or hosting
+ VSCode-based with familiar security model
+ You control what code is committed and deployed
+ Privacy mode available for sensitive codebases

Concerns

- AI suggestions may introduce vulnerabilities
- Codebase context sent to AI for suggestions
- Generated code quality varies
- Developer must still review for security issues

The Verdict

Cursor is safe for development use. The local-first model gives you full control over your code and deployment. Use privacy mode for sensitive projects, review AI suggestions for security issues, and follow standard secure development practices. The tool itself doesn't introduce deployment risks - security depends on how you use the generated code.

Scan Your Application

Let VibeEval scan your deployed application for security vulnerabilities.

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