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Duration 14 hours
Course Outline
Introduction to DevSecOps and AI Integration
- Core principles and objectives of DevSecOps
- The impact of AI and ML on DevSecOps practices
- Current trends in security automation and tool classifications
Static and Dynamic Code Analysis with AI
- Applying static analysis using SonarQube, Semgrep, or Snyk Code
- Conducting dynamic testing with AI-assisted test case generation
- Interpreting analysis results and integrating findings with version control
Secrets and Credential Leak Detection
- Utilizing AI-enhanced tools like GitHub Advanced Security or Gitleaks to detect hardcoded secrets
- Preventing sensitive credentials from being committed to source control
- Establishing automated blocking and alerting rules
AI-Powered Dependency and Container Scanning
- Scanning containers using Trivy and AI-enabled plugins
- Monitoring third-party libraries and Software Bill of Materials (SBOMs)
- Receiving automated remediation recommendations and patch alerts
Intelligent Threat Modeling and Risk Assessment
- Performing automated threat modeling with AI-based tools
- Prioritizing risks using machine learning models
- Correlating business impact with technical vulnerabilities
CI/CD Pipeline Integration and Automation
- Incorporating security checks into Jenkins, GitHub Actions, or GitLab CI
- Implementing policies-as-code to enforce standards across environments
- Generating AI-assisted reports for audit and compliance purposes
Case Studies and Security Automation Patterns
- Reviewing real-world examples of AI in security pipelines
- Selecting appropriate tools for your specific ecosystem
- Adopting best practices for building and maintaining secure pipelines
Summary and Next Steps
Requirements
- A solid grasp of the DevOps lifecycle and CI/CD pipelines
- Fundamental knowledge of application security principles
- Experience with code repositories and infrastructure-as-code tools
Target Audience
- DevOps teams with a security focus
- DevSecOps engineers and cloud security specialists
- Professionals in compliance and risk management
