> ## Documentation Index
> Fetch the complete documentation index at: https://notes.kodekloud.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Data Privacy
> This article discusses Cursors AI coding tools that prioritize data privacy and security for developers.
Code security is a growing concern for developers and organizations alike. While AI coding tools can boost productivity, many teams worry about exposing proprietary code and intellectual property. Cursor delivers powerful AI assistance without compromising confidentiality by combining intelligent features with robust privacy controls.
## Why Choose Cursor for Secure AI Coding?
Cursor stands out with a privacy-first, developer-focused, and privacy-by-design approach:
* **AI-Powered Code Editor**\
Real-time suggestions, autocompletion, and refactoring—right in your editor.
* **Developer-First Model**\
Your code never becomes training data. Intellectual property stays yours.
* **Privacy by Design**\
Built-in controls ensure advanced AI features without exposing sensitive code.
## Privacy Modes
Cursor offers three modes so you can balance AI assistance with your security requirements:
| Mode | Key Feature | Ideal Use Case |
| ---------------- | ------------------------------------ | ------------------------------------------ |
| Privacy Mode | No long-term storage | Standard development with session privacy |
| Local Ghost Mode | Fully offline, zero cloud transfer | Government, financial, or proprietary apps |
| No-Storage Mode | Free; no code persists after session | Open-source or individual projects |
No-Storage Mode is available without payment or API key. It ensures that your code never persists on Cursor servers.
## Data Handling Practices
Cursor’s architecture ensures minimal exposure and secure processing of your code:
* **Minimal Exposure**\
Only 100–300 lines are sent for analysis at a time, reducing sensitive data transfer.
* **No At-Rest Storage**\
Cursor uses temporary memory for immediate AI processing and discards data afterward.
* **Secure Processing**\
Enterprise-grade encryption and strict security protocols protect data in transit and in use.
## Certifications and Compliance
Cursor’s security and privacy controls are independently verified and legally robust:
| Certification | Description |
| ----------------- | ---------------------------------------------------------------------------- |
| SOC 2 Certified | Validated by third-party auditors for strict information security standards. |
| GDPR Compliant | Full adherence to European data protection regulations. |
| Legal Protections | Standard contractual clauses for secure cross-border data transfers. |
| SSL Encryption | Enterprise-grade encryption for all data in transit. |
Always verify your organization’s compliance requirements before selecting a privacy mode.
## Trust and Safety Measures
To further safeguard your code and system integrity, Cursor implements:
* **Limited Prompt Retention**\
Prompts are stored for 30 days solely for safety monitoring—not for model training.
* **No Third-Party Sharing**\
Your code remains with Cursor; we never distribute it externally.
* **Transparent Practices**\
Full documentation of data handling policies ensures no hidden usage of your IP.
* **Continuous Improvement**\
Regular security audits and user feedback drive ongoing enhancements.
## Summary
Cursor empowers secure development with three core principles:
1. **Privacy First**\
Maintain full confidentiality without sacrificing AI-driven productivity.
2. **Complete Control**\
Choose the privacy mode that aligns with your organizational policies.
3. **Enterprise Ready**\
SOC 2 certification, GDPR compliance, and legal safeguards meet the strictest standards.
Explore Cursor’s privacy features in detail and start writing secure, AI-assisted code today:
## Links and References
* [Cursor Privacy Documentation](https://cursor.com/docs/privacy)
* [Cursor Security Overview](https://cursor.com/docs/security)
* [AI in Software Development](https://medium.com/ai-software-development)
* [Enterprise Data Protection Best Practices](https://example.com/data-protection)