The GH-500T00: GitHub Advanced Security course provides deep expertise in GitHub Advanced Security (GHAS) features for securing the software supply chain. This 1-day hands-on course covers code scanning, secret scanning, Dependabot, security overview dashboards, and supply chain security practices for enterprise-grade application protection. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers.
GitHub Advanced Security (GHAS) is a comprehensive security suite that helps organizations find and fix vulnerabilities before they reach production. The GH-500T00 course provides hands-on training with code scanning, secret scanning, Dependabot, and security overview features — enabling teams to implement shift-left security practices and protect their entire software supply chain.
This course is ideal for security engineers, DevSecOps practitioners, platform engineers, and development leads responsible for securing applications and enforcing security policies across GitHub organizations.
Application security is a top priority for every organization. The GH-500T00 course builds expertise in GitHub Advanced Security — skills critical for application security engineers, DevSecOps professionals, and security architects implementing shift-left security strategies.
GitHub Advanced Security (GHAS) is a security suite that includes code scanning, secret scanning, Dependabot, and security overview. It helps organizations find and fix vulnerabilities across their codebase and dependencies.
GHAS is available as an add-on for GitHub Enterprise Cloud and GitHub Enterprise Server. Some features like secret scanning and Dependabot alerts are available on public repositories for free.
Basic understanding of application security concepts is helpful. The course covers GHAS features comprehensively, from setup and configuration through advanced customization and enterprise-scale management.
GitHub code scanning uses CodeQL, a semantic code analysis engine that understands data flow and program structure. It provides high-fidelity results with lower false positive rates compared to many traditional static analysis tools.
