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Duration 14 hours
Course Outline
Introduction to DevSecOps and the Role of AI
- Core principles and objectives of DevSecOps
- The impact of AI and Machine Learning on DevSecOps practices
- Current trends in security automation and relevant tool categories
AI-Enhanced Static and Dynamic Code Analysis
- Implementing static analysis with tools like SonarQube, Semgrep, or Snyk Code
- Utilizing AI-assisted test case generation for dynamic testing
- Analyzing results and integrating findings with version control systems
Detecting Secrets and Credential Leaks
- Leveraging AI to detect hardcoded secrets (e.g., via GitHub Advanced Security, Gitleaks)
- Strategies to prevent secrets from entering source control
- Establishing automatic blocking mechanisms and alerting rules
AI-Driven Dependency and Container Scanning
- Scanning containers using Trivy and AI-enabled plugins
- Monitoring third-party libraries and managing Software Bills of Materials (SBOMs)
- Generating automated remediation recommendations and patch alerts
Intelligent Threat Modeling and Risk Assessment
- Employing AI-based tools for automated threat modeling
- Prioritizing risks using machine learning models
- Connecting business impact with technical vulnerabilities
Integrating and Automating CI/CD Pipelines
- Embedding security checks into Jenkins, GitHub Actions, or GitLab CI
- Implementing policies-as-code to enforce consistency across environments
- Generating AI-assisted reports for audit and compliance purposes
Case Studies and Security Automation Patterns
- Examining real-world applications of AI in security pipelines
- Selecting appropriate tools for your specific ecosystem
- Adopting best practices for building and maintaining secure pipelines
Conclusion and Path Forward
Requirements
- A solid grasp of the DevOps lifecycle and CI/CD pipeline architectures
- Foundational knowledge of application security principles
- Working familiarity with code repositories and infrastructure-as-code (IaC) tools
Target Audience
- DevOps teams with a security focus
- DevSecOps engineers and cloud security specialists
- Professionals in compliance and risk management
