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Duration 14 hours
Course Outline
Foundations of DevSecOps and AI Integration
- Core DevSecOps principles and objectives
- The impact of AI and machine learning on DevSecOps
- Current trends in security automation and relevant tool categories
AI-Enhanced Static and Dynamic Code Analysis
- Performing static analysis using SonarQube, Semgrep, or Snyk Code
- Conducting dynamic tests with AI-generated test cases
- Analyzing results and synchronizing with version control systems
Detecting Secrets and Credential Leaks
- Utilizing AI-enhanced detection for hardcoded secrets (e.g., GitHub Advanced Security, Gitleaks)
- Stopping secrets from entering source control repositories
- Configuring automatic blocking mechanisms and alert triggers
AI-Driven Dependency and Container Scanning
- Scanning containers using Trivy and AI-supported plugins
- Tracking third-party libraries and managing SBOMs
- Receiving automated remediation advice and patch notifications
Smart Threat Modeling and Risk Evaluation
- Executing automated threat modeling with AI-based utilities
- Prioritizing risks using machine learning algorithms
- Connecting business impact with technical vulnerabilities
Integrating and Automating CI/CD Pipelines
- Embedding security checks within Jenkins, GitHub Actions, or GitLab CI
- Implementing policies-as-code to enforce standards across environments
- Producing AI-assisted reports for audit and compliance purposes
Case Studies and Security Automation Patterns
- Practical examples of AI application in security pipelines
- Selecting optimal tools for your specific ecosystem
- Best practices for establishing and sustaining secure pipelines
Recap 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 platforms
Intended Audience
- DevOps teams with a strong security focus
- DevSecOps engineers and cloud security experts
- Professionals in compliance and risk management
