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Code scanning’s tool status gives you a bird's eye view of your application security stack, allowing you to quickly confirm everything is working, or troubleshoot any tool in your application security arsenal.
We’ve gotten great feedback on default setup, a simple way to set up code scanning on your repository. Now, you have the ability to use default setup across your organization's repositories, in just one click.
Learn more about static analysis and how to use it for security research! In this blog post series, we will take a closer look at static analysis concepts, present GitHub’s static analysis tool CodeQL, and teach you how to leverage static analysis for security research by writing custom CodeQL queries.
These changes will improve the experience for custom query authors and enable better precision in some of our standard queries. Learn how to enable them for your custom queries.
Multi-repository variant analysis lets you scale security research across thousands of repositories, giving you a powerful tool to find and respond to newly discovered vulnerabilities.
Learn about CodeQL's improved user experience and enhancements that let you scan new languages, detect new types of CWEs, and perform deeper analyses of your applications.
Default setup is a new way to automatically set up code scanning on your repository, without the use of a .yaml file.
Learn best practices on how to roll out centrally managed, developer-centric application security with a third party CI/CD system like Jenkins or ADO.
Go beyond knowing GitHub as the home of open source and explore how GitHub Enterprise can help you transform your software engineering organization and practices.
GitHub is excited to announce the release of CodeQL queries that implement the standards CERT C++ and AUTOSAR C++. These queries can aid developers looking to demonstrate ISO 26262 Part 6 process compliance.
From plug-and-play automations to protected branches, here are simple ways any developer can build more secure software on GitHub—all with a free account.
Introducing CodeQL packs to help you codify and share your knowledge of vulnerabilities.
Today we launched new code scanning analysis features powered by machine learning. The experimental analysis finds more of the most common types of vulnerabilities.
A behind-the-scenes peek into the machine learning framework powering new code scanning security alerts.
The GitHub Security Lab’s CodeQL bounty program fuels GitHub Advanced Security with queries written by the open source community.
The Exiv2 team tightened our security by enabling GitHub’s code scanning feature and adding custom queries tailored to the Exiv2 code base.