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REST API now available for the organization-level security manager role (Public Beta)

Organizations participating in the security manager role public beta may now manage security manager teams via the GitHub REST API. In addition, legacy organizations can now participate in the public beta.

Learn more about the security manager REST API and send us your feedback

Learn more about GitHub Advanced Security

It's now easier to debug CodeQL analysis problems in code scanning: click Re-run jobs from the GitHub Actions workflow run page, check the Enable debug logging box, and hit the Re-run jobs button.

Re-run all jobs

The data will be uploaded as an Actions artifact named debug-artifacts, attached to the workflow run. Such artifacts contain CodeQL logs, CodeQL databases, and the SARIF files that were produced.

Actions artifacts

These artifacts will help you when you're debugging problems with CodeQL code scanning. When contacting GitHub support, you might be asked for this data.

As part of the analysis, CodeQL extracts your source code into a relational database format. The debug artifacts include more detailed information about CodeQL extraction errors and warnings that occurred during database creation. If you want to permanently enable debug logging for the CodeQL analysis, or would like more information about troubleshooting CodeQL, please follow these instructions.

This feature is now available to all users on GitHub.com and will also be available in GitHub Enterprise Server 3.7.

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GitHub Enterprise Cloud (GHEC) customers can now participate in a private beta enabling audit log streaming to a Datadog endpoint. Audit log streaming to Datadog not only allows enterprises to satisfy long-term data retention goals but also analyze GitHub audit log data using the tools offered by Datadog.

GHEC administrators interested in participating in the private beta should reach out to your GitHub account manager or contact our sales team to make the feature available for your enterprise. Once enabled, administrators can follow the instructions for setting up streaming to Datadog and provide feedback on their experience at the audit log streaming to Datadog community discussion.

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