How to Secure Tabnine
Step-by-step guide to using Tabnine securely with its local-first approach.
Tabnine Security Context
Tabnine offers a local-first approach with models trained from scratch on permissively licensed code. Enterprise features provide additional privacy controls.
Security Checklist
Enable local-first mode
CriticalUse Tabnine's local-first approach to keep code on your machine.
Review AI-generated code
CriticalAlways review suggestions for security vulnerabilities.
Configure privacy settings
CriticalSet up Tabnine's enterprise privacy features appropriately.
Protect sensitive files
CriticalExclude sensitive files from Tabnine's analysis.
Audit trained models
Understand that Tabnine trains from scratch on permissively licensed code.
Configure team settings
Set up appropriate team access controls.
Review suggested packages
Audit dependencies suggested for vulnerabilities.
Enable enterprise features
Leverage advanced security features if available.
Configure IDE integration
Review IDE extension permissions.
Test generated authentication
Verify auth code works securely.
Review code patterns
Ensure generated code follows security best practices.
Validate input handling
Check that generated code validates inputs.
Audit error handling
Ensure errors don't expose sensitive data.
Configure data retention
Set appropriate data policies.
Enable audit logging
Track usage for security monitoring.
Run security scan
Use VibeEval to scan deployed applications.