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Duration 14 hours
Course Outline
Foundations of DevSecOps and AI Integration
- Core principles and objectives of DevSecOps
- The impact of AI and machine learning in DevSecOps
- Emerging trends in security automation and tool categorization
AI-Enhanced Static and Dynamic Code Analysis
- Applying SonarQube, Semgrep, or Snyk Code for static code review
- Conducting dynamic tests using AI-generated test cases
- Interpreting findings and syncing with version control systems
Identification of Secrets and Credential Leaks
- Detecting hardcoded credentials with AI assistance (e.g., GitHub Advanced Security, Gitleaks)
- Preventing secret data from entering source control
- Establishing automated blocking mechanisms and alert triggers
AI-Driven Dependency and Container Scanning
- Container scanning using Trivy and AI-enabled plugins
- Overseeing third-party libraries and Software Bill of Materials (SBOMs)
- Automated remediation suggestions and patch notifications
Intelligent Threat Modeling and Risk Evaluation
- Automating threat models with AI-based utilities
- Prioritizing risks through machine learning algorithms
- Correlating business impact with technical vulnerabilities
Integrating and Automating CI/CD Pipelines
- Embedding security controls in Jenkins, GitHub Actions, or GitLab CI
- Enforcing cross-environment rules via policies-as-code
- Generating AI-assisted reports for audit and compliance purposes
Case Studies and Security Automation Best Practices
- Practical examples of AI application in security pipelines
- Selecting appropriate tools for your specific ecosystem
- Best practices for developing and sustaining secure pipelines
Conclusion and Future Directions
Requirements
- A solid grasp of the DevOps lifecycle and CI/CD pipeline mechanics
- Fundamental understanding of application security concepts
- Experience with code repositories and infrastructure-as-code solutions
Target Audience
- DevOps teams with a strong security focus
- DevSecOps engineers and cloud security experts
- Professionals in compliance and risk management
