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Generating regular expressions for custom patterns with AI

You can use the regular expression generator to generate regular expressions for custom patterns. The generator uses an AI model to generate expressions that match your input, and optionally example strings.

Who can use this feature?

Repository owners, organization owners, security managers, and users with the admin role

Generating a regular expression for a repository with AI

Note

You do not need a subscription to GitHub Copilot to use Copilot secret scanning's regular expression generator. Copilot secret scanning features are available to private repositories in GitHub Enterprise Cloud enterprises with GitHub Advanced Security enabled.

  1. On GitHub, navigate to the main page of the repository.

  2. Under your repository name, click Settings. If you cannot see the "Settings" tab, select the dropdown menu, then click Settings.

    Screenshot of a repository header showing the tabs. The "Settings" tab is highlighted by a dark orange outline.

  3. In the "Security" section of the sidebar, click Code security and analysis.

  4. Under "Code security and analysis", find "GitHub Advanced Security."

  5. Under "Secret scanning", under "Custom patterns", click New pattern.

  6. In the "Pattern name" field, type a name for your pattern.

  7. On the top right, click Generate with AI.

    Note

    You can enter a regular expression manually instead of using the generator, by typing a regular expression for the format of your secret pattern in the "Secret format" field. For more information, see "Defining a custom pattern for a repository" or "Defining a custom pattern for an organization."

  8. In the sliding panel that is displayed:

    • Complete the "I want a regular expression that" field, describing, ideally in plain English, what patterns you want your regular expression to capture. You can use other natural languages, but the performance may not be as good as with English.

    • Complete the "Examples of what I'm looking for" field, giving an example of a pattern you want to scan for.

    • Click Generate suggestions.

    • Optionally, click on a suggestion to view a description of the regular expression.

    • Click Use results in the Results section that appears, for the result you want to use.

      Screenshot of a filled custom secret scanning pattern form for the generator to use.

  9. You can click More options to provide other surrounding content or additional match requirements for the secret format. GitHub will add the examples you typed in the sliding panel to the Test string field.

  10. When you're ready to test your new custom pattern, to identify matches in the repository without creating alerts, click Save and dry run.

  11. When the dry run finishes, you'll see a sample of results (up to 1000). Review the results and identify any false positive results.

    Screenshot showing results from dry run.

  12. Edit the new custom pattern to fix any problems with the results, then, to test your changes, click Save and dry run.

  13. When you're satisfied with your new custom pattern, click Publish pattern.

You can configure secret scanning to check pushes for custom patterns before commits are merged into the default branch. For more information, see "Enabling push protection for a custom pattern."

Generating a regular expression for an organization with AI

  1. In the upper-right corner of GitHub, select your profile photo, then click Your organizations.

  2. Next to the organization, click Settings.

  3. In the "Security" section of the sidebar, click Code security then Global settings.

  4. Under "Custom patterns", click New pattern.

  5. In the "Pattern name" field, type a name for your pattern.

  6. On the top right, click Generate with AI.

    Note

    You can enter a regular expression manually instead of using the generator, by typing a regular expression for the format of your secret pattern in the "Secret format" field. For more information, see "Defining a custom pattern for a repository" or "Defining a custom pattern for an organization."

  7. In the sliding panel that is displayed:

    • Complete the "I want a regular expression that" field, describing, ideally in plain English, what patterns you want your regular expression to capture. You can use other natural languages, but the performance may not be as good as with English.

    • Complete the "Examples of what I'm looking for" field, giving an example of a pattern you want to scan for.

    • Click Generate suggestions.

    • Optionally, click on a suggestion to view a description of the regular expression.

    • Click Use results in the Results section that appears, for the result you want to use.

      Screenshot of a filled custom secret scanning pattern form for the generator to use.

  8. You can click More options to provide other surrounding content or additional match requirements for the secret format. GitHub will add the examples you typed in the sliding panel to the Test string field.

  9. When you're ready to test your new custom pattern, to identify matches in selected repositories without creating alerts, click Save and dry run.

  10. Select the repositories where you want to perform the dry run.

    • To perform the dry run across the entire organization, select All repositories in the organization.
    • To specify the repositories where you want to perform the dry run, select Selected repositories, then search for and select up to 10 repositories.
  11. When you're ready to test your new custom pattern, click Run.

  12. When the dry run finishes, you'll see a sample of results (up to 1000). Review the results and identify any false positive results.

    Screenshot showing results from dry run.

  13. Edit the new custom pattern to fix any problems with the results, then, to test your changes, click Save and dry run.

  14. When you're satisfied with your new custom pattern, click Publish pattern.

You can configure secret scanning to check pushes for custom patterns before commits are merged into the default branch. For more information, see "Enabling push protection for a custom pattern."

Further reading