Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Introduction to DevSecOps and AI Integration
- Core principles and objectives of DevSecOps
- The function of AI and ML within the DevSecOps framework
- Current trends in security automation and key tool categories
Static and Dynamic Code Analysis with AI
- Performing static analysis using SonarQube, Semgrep, or Snyk Code
- Conducting dynamic testing through AI-assisted test case generation
- Interpreting results and integrating findings with version control systems
Secrets and Credential Leak Detection
- Employing AI-enhanced tools to detect hardcoded secrets (e.g., GitHub Advanced Security, Gitleaks)
- Strategies to prevent secrets from entering source control repositories
- 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 managing Software Bills of Materials (SBOMs)
- Generating automated remediation recommendations and patch alerts
Intelligent Threat Modeling and Risk Assessment
- Implementing automated threat modeling with AI-based tools
- Prioritizing risks utilizing machine learning models
- Correlating business impact with technical vulnerabilities
CI/CD Pipeline Integration and Automation
- Embedding security checks into Jenkins, GitHub Actions, or GitLab CI
- Developing policies-as-code to enforce consistency across environments
- Producing AI-assisted reports for audit and compliance purposes
Case Studies and Security Automation Patterns
- Analyzing real-world examples of AI application in security pipelines
- Selecting optimal 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 pipeline architectures
- Fundamental understanding of application security principles
- Experience with code repositories and infrastructure-as-code tooling
Target Audience
- DevOps teams with a security focus
- DevSecOps engineers and cloud security specialists
- Professionals in compliance and risk management
