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Course Outline
Introduction to DevSecOps and AI Integration for Government
- Principles and goals of DevSecOps
- The role of artificial intelligence (AI) and machine learning (ML) in DevSecOps
- Current trends and categories of security automation tools for government
Static and Dynamic Code Analysis with AI for Government
- Utilizing SonarQube, Semgrep, or Snyk Code for static code analysis in government systems
- Implementing dynamic testing with AI-assisted test case generation for enhanced security
- Interpreting analysis results and integrating them with version control systems for continuous improvement
Secrets and Credential Leak Detection for Government
- Leveraging AI-enhanced tools such as GitHub Advanced Security and Gitleaks to detect hardcoded secrets in government repositories
- Strategies for preventing sensitive credentials from entering source control systems for government projects
- Establishing automatic blocking and alerting rules to enhance security protocols for government operations
AI-Powered Dependency and Container Scanning for Government
- Conducting container scans with tools like Trivy and AI-enabled plugins for comprehensive security in government applications
- Monitoring third-party libraries and software bill of materials (SBOMs) to ensure compliance and reduce vulnerabilities in government systems
- Implementing automated remediation recommendations and patch alerts to maintain secure environments for government operations
Intelligent Threat Modeling and Risk Assessment for Government
- Automating threat modeling with AI-based tools to enhance security in government projects
- Prioritizing risks using machine learning models to focus resources effectively in government agencies
- Linking business impact to technical vulnerabilities to make informed decisions for government operations
CI/CD Pipeline Integration and Automation for Government
- Embedding security checks in continuous integration/continuous deployment (CI/CD) pipelines using Jenkins, GitHub Actions, or GitLab CI for government projects
- Creating policies-as-code to enforce consistent security rules across different environments for government systems
- Generating AI-assisted reports for audits and compliance requirements in government agencies
Case Studies and Security Automation Patterns for Government
- Real-world examples of AI applications in security pipelines within government operations
- Guidelines for selecting the appropriate tools to fit your government ecosystem
- Best practices for building and maintaining secure CI/CD pipelines for government agencies
Summary and Next Steps for Government
Requirements
- An understanding of the DevOps lifecycle and continuous integration/continuous deployment (CI/CD) pipelines for government.
- Basic knowledge of application security principles.
- Familiarity with code repositories and infrastructure-as-code tools.
Audience
- Security-focused DevOps teams within the public sector.
- DevSecOps engineers and cloud security specialists for government agencies.
- Compliance and risk management professionals in governmental organizations.
14 Hours
