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Duration 14 hours
Course Outline
Overview of DevSecOps and the Integration of Artificial Intelligence
- Foundational principles and strategic objectives of DevSecOps
- The functional role of AI and machine learning in security operations
- Current trends in security automation and classification of tooling
Static and Dynamic Code Analysis Enhanced by AI
- Leveraging platforms such as SonarQube, Semgrep, or Snyk Code for static analysis
- Implementing dynamic testing through AI-assisted generation of test cases
- Analyzing outcomes and integrating findings with version control systems
Detection of Secrets and Credential Leaks
- AI-driven identification of hardcoded secrets using tools like GitHub Advanced Security or Gitleaks
- Preventing the accidental inclusion of sensitive credentials in source control
- Establishing automated rules for blocking and alerting on credential exposure
AI-Driven Dependency and Container Scanning
- Scanning container images using Trivy and AI-enabled plugins
- Monitoring third-party libraries and maintaining Software Bills of Materials (SBOMs)
- Providing automated remediation recommendations and patch notifications
Intelligent Threat Modeling and Risk Assessment
- Conducting automated threat modeling with AI-based utility tools
- Prioritizing risks through the application of machine learning models
- Correlating business impact with technical vulnerabilities
CI/CD Pipeline Integration and Automation for Government
- Embedding security verification steps in Jenkins, GitHub Actions, or GitLab CI
- Implementing policies-as-code to enforce standards across environments
- Generating AI-assisted reports for audit readiness and regulatory compliance
Case Studies and Security Automation Patterns
- Real-world examples of AI application in security pipelines
- Selecting appropriate tools for specific ecosystem requirements
- Best practices for establishing and maintaining secure delivery pipelines
Summary and Recommended Next Steps
Requirements
- A solid understanding of the DevOps lifecycle and CI/CD pipeline structures.
- Foundational knowledge of application security principles.
- Familiarity with code repositories and infrastructure-as-code methodologies.
Target Audience
- DevOps teams with a focus on security operations.
- DevSecOps engineers and cloud security specialists.
- Professionals involved in compliance and risk management.
