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    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

    1

    Enable local-first mode

    Critical

    Use Tabnine's local-first approach to keep code on your machine.

    2

    Review AI-generated code

    Critical

    Always review suggestions for security vulnerabilities.

    3

    Configure privacy settings

    Critical

    Set up Tabnine's enterprise privacy features appropriately.

    4

    Protect sensitive files

    Critical

    Exclude sensitive files from Tabnine's analysis.

    5

    Audit trained models

    Understand that Tabnine trains from scratch on permissively licensed code.

    6

    Configure team settings

    Set up appropriate team access controls.

    7

    Review suggested packages

    Audit dependencies suggested for vulnerabilities.

    8

    Enable enterprise features

    Leverage advanced security features if available.

    9

    Configure IDE integration

    Review IDE extension permissions.

    10

    Test generated authentication

    Verify auth code works securely.

    11

    Review code patterns

    Ensure generated code follows security best practices.

    12

    Validate input handling

    Check that generated code validates inputs.

    13

    Audit error handling

    Ensure errors don't expose sensitive data.

    14

    Configure data retention

    Set appropriate data policies.

    15

    Enable audit logging

    Track usage for security monitoring.

    16

    Run security scan

    Use VibeEval to scan deployed applications.

    Related Resources

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