How AI enhances static application security testing (SAST)
Here’s how SAST tools combine generative AI with code scanning to help you deliver features faster and keep vulnerabilities out of code.
One month ago, we started a discussion with the community about proposed revisions to clarify GitHub’s policies on security research, malware, and exploits with the goal to enable, welcome, and encourage dual-use security research and collaboration on GitHub. We want to thank the broader security research community, project maintainers, and developers who shared feedback with us publicly in the pull request (PR) and who reached out for deeper live discussions on this topic. The feedback and suggestions, both on the substantive content and proposed changes, as well as on how we communicated the changes, have been tremendously valuable throughout this process and helped us better clarify our policies.
Today, as the comment period has closed, we have merged the latest revisions of the PR and, in response to community feedback, updated the policy with some key changes:
We want to again thank each of you for taking the time to consider, discuss, and share. The iterative process allowed us to improve the clarity of our intention through each round of changes based on the feedback of the community as well as establish clearer guidelines for ourselves on dual-use content moving forward. We continue to welcome feedback and improvements on our various site policies and look forward to working together with the community to continue to drive improvements in this space.