Introducing AI-powered application security testing with GitHub Advanced Security
Blog post from GitHub
GitHub is enhancing its Advanced Security offerings to streamline the integration of security measures into developers' workflows, emphasizing the importance of proactive code security. Over the past year, more than 70 new features have been released, including the ability for Dependabot to group version updates, enhanced code scanning for large-scale variant analysis, and improved secret scanning with AI-driven validity checks, now available for free for public repositories. AI-powered enhancements have been introduced, such as code scanning autofix, which uses CodeQL to deliver AI-generated fixes for JavaScript and TypeScript alerts directly into pull requests, thereby reducing remediation times and improving code security. Additionally, secret scanning is leveraging AI to detect leaked passwords with greater accuracy, and a new AI-powered tool helps create custom regular expression patterns for secret detection. GitHub has also launched a new security overview dashboard, offering comprehensive insights into an organization's security posture, which aids in collaboration between developers and security teams to address and prevent security issues efficiently. These advancements aim to enhance productivity, minimize security vulnerabilities, and foster a more secure and efficient development environment.