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Duration 14 hours
Course Outline
Introduction to DevSecOps and AI Integration
- Core principles and objectives of DevSecOps.
- The role of AI and Machine Learning in the DevSecOps ecosystem.
- Current trends in security automation and tool classifications.
AI-Driven Static and Dynamic Code Analysis
- Utilizing SonarQube, Semgrep, or Snyk Code for static analysis.
- Dynamic testing through AI-assisted test case generation.
- Analyzing results and integrating findings with version control systems.
Secrets and Credential Leak Detection
- AI-enhanced identification of hardcoded secrets (e.g., GitHub Advanced Security, Gitleaks).
- Strategies to prevent secrets from entering source control.
- Establishing automatic blocking mechanisms and alerting rules.
AI-Powered Dependency and Container Scanning
- Scanning containers using Trivy and AI-enabled plugins.
- Monitoring third-party libraries and Software Bills of Materials (SBOMs).
- Generating automated remediation recommendations and patch alerts.
Intelligent Threat Modeling and Risk Assessment
- Automating threat modeling with AI-based tools.
- Prioritizing risks using machine learning models.
- Correlating business impact with technical vulnerabilities.
CI/CD Pipeline Integration and Automation
- Embedding security checks in 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
- Real-world examples of AI applications in security pipelines.
- Selecting the appropriate tools for your specific ecosystem.
- Best practices for building and maintaining secure pipelines.
Summary and Next Steps
Requirements
- Foundational understanding of the DevOps lifecycle and CI/CD pipelines.
- Basic knowledge of application security principles.
- Familiarity with code repositories and infrastructure-as-code tools.
Target Audience
- DevOps teams with a focus on security.
- DevSecOps engineers and cloud security specialists.
- Professionals in compliance and risk management.
