AZ-400 Designing and Implementing Microsoft DevOps Solutions Exam

Integrate Automated Code and Secret Scanning

Automated Code and Secret Scanning

Automated Code and Secret Scanning is a critical aspect of maintaining the security and compliance of your codebase. This involves using tools to automatically search for vulnerabilities and sensitive information in your code repositories. Both GitHub and Azure DevOps offer capabilities for automated security scanning as part of their CI/CD workflows.

Configure GitHub Advanced Security

GitHub Advanced Security provides features like CodeQL analysis and secret scanning to identify potential vulnerabilities and exposed credentials in your code. To implement this:

• CodeQL Analysis: Helps detect security vulnerabilities by analyzing your code.
• Secret Scanning: Automatically detects exposed secrets, such as API keys and passwords, in your repositories.
• Custom Query Packs and Detection Rules: Users can customize the scanning process by defining specific queries and detection parameters.

Implementing in CI/CD Workflow

Integrating these security scans within your CI/CD pipeline enhances real-time protection:

• Enforcement on Pull Requests: Ensure all code changes are scanned before merging into the main branch.
• Real-Time Reporting: Get instant feedback on vulnerabilities and credential exposures during the build process, allowing for immediate remediation.

Azure DevOps Integration

Similar to GitHub, Azure DevOps supports automated security scanning:

• CodeQL Integration: Use CodeQL for in-depth static analysis of your codebase.
• Pipeline Configuration: Set up pipelines to include security checks at various stages of the build and release process.
• Secret Scanning: Enable secret detection in Azure repositories to prevent sensitive data leakage.

Customization and Monitoring

By customizing scan rules and continuously monitoring scan results, you can maintain a robust security posture:

• Custom Detection Rules: Tailor the scanning process to address specific security needs of your project.
• Enforcement Policies: Implement policies that mandate scanning before any deployment, ensuring continuous compliance.

In summary, integrating automated code and secret scanning into your GitHub or Azure DevOps workflows aids in identifying and resolving security vulnerabilities proactively. This fosters a secure development environment by leveraging tools like CodeQL and real-time reporting within the CI/CD framework.