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CodeQL

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What is GitHub Advanced Security?

GitHub Advanced Security enables developers and security experts to work together efficiently in tackling existing security issues and preventing new vulnerabilities from infiltrating code through a suite of features like AI-driven remediation, static analysis, secret scanning, and software composition analysis. By utilizing Copilot Autofix, vulnerabilities are detected through code scanning, which provides contextual insights and suggests fixes within pull requests as well as for previously flagged alerts, enhancing the team's capacity to manage their security liabilities. Furthermore, targeted security initiatives can implement autofixes for as many as 1,000 alerts at once, significantly reducing the risk of application vulnerabilities and zero-day exploits. The secret scanning capability, which includes push protection, secures over 200 different token types and patterns from a wide range of more than 150 service providers, effectively identifying elusive secrets such as passwords and personally identifiable information. Supported by a vast community of over 100 million developers and security professionals, GitHub Advanced Security equips teams with the automation and insights needed to deliver more secure software promptly, thereby promoting increased confidence in the applications they develop. This holistic strategy not only bolsters security but also enhances workflow efficiency, making it simpler for teams to identify and tackle potential threats, ultimately leading to a more robust security posture within their software development lifecycle.

What is CodeQL?

Identify vulnerabilities in your codebase with CodeQL, a top-tier semantic analysis tool designed for code evaluation. CodeQL allows you to analyze code as data, facilitating the creation of queries that can detect every variant of a security flaw, ultimately ensuring its complete eradication. By disseminating your discoveries, you can aid others in this essential endeavor. This powerful tool is freely available for both research initiatives and open source projects. With CodeQL seamlessly integrated into Visual Studio Code, you can run actual queries against popular open source codebases, witnessing firsthand how effectively it can highlight poor coding practices and identify similar issues throughout the entire codebase. Additionally, you have the flexibility to construct your own CodeQL databases for any project adhering to an OSI-approved open source license. It is crucial to understand that GitHub CodeQL is limited to application on codebases that are either released under an OSI-approved open source license, used for academic purposes, or leveraged to create CodeQL databases for automated analysis. To initiate your journey, simply download and incorporate the relevant CodeQL database into VS Code, or generate a CodeQL database via the command-line interface, which will significantly enhance your code's security. By utilizing CodeQL, you not only bolster your own project but also contribute to fostering a more secure coding landscape for the entire developer community. This collaborative effort ultimately leads to greater code quality and a safer environment for all.