Overview What You Will Learn Curriculum Instructor

Course Overview

DevSecOps helps embed security into DevOps processes from the design phase through coding and deployment, ensuring robust and efficient software security. This course introduces how ChatGPT can be used to enhance security automation, support secure coding, and improve vulnerability detection across the DevSecOps lifecycle. Participants will explore challenges in DevOps such as speed, design constraints, cloud infrastructure, and container security before diving into AI-driven security solutions.

In this course, you will learn to incorporate security practices seamlessly within CI/CD pipelines using AI-driven methodologies. The course will cover key concepts such as shifting security left, OWASP Proactive Controls, secure-by-default principles, self-service security, Infrastructure as Code, and automated vulnerability detection. Additionally, participants will explore AI-driven security techniques such as Dynamic Application Security Testing (DAST), Fuzzing, and Bug Bounty-driven security enhancements with guided insights.

By the end of this course, participants will have a foundational understanding of AI-powered security solutions within DevSecOps workflows, enhancing agility while maintaining robust security standards.

The logo and trademarks mentioned above, including those owned by OpenAI, are the property of their respective owners. EC-Council is not affiliated with, endorsed by, or sponsored by OpenAI.

What You Will Learn

  • Understand the role of AI in DevSecOps.
  • Utilize ChatGPT for secure coding and automated security analysis.
  • Identify ChatGPT-driven vulnerability assessments.
  • Enhance security compliance processes with AI automation.

Program Curriculum

  • Overview of DevSecOps
  • Role of AI in Security Automation
  • ChatGPT as a Tool in DevSecOps
  • Benefits and Challenges of AI in Security
  • Section Summary
  • Chapter 1 Quiz

  • AI-Assisted Secure Code Analysis
  • Understanding Threat Modeling
  • Implementing AI-driven Threat Modeling
  • Case Study: AI in Secure Coding
  • Challenges in AI Security Implementation
  • Ethical Considerations in AI Security
  • Section Summary
  • Chapter 2 Quiz

  • Integrating AI-driven Security Checks
  • AI for Compliance and Policy Generation
  • AI in CI/CD Pipeline Monitoring
  • Automating Vulnerability Detection
  • Case Study: AI in CI/CD Security
  • Risks of AI-driven Automation
  • Section Summary
  • Chapter 3 Quiz

  • ChatGPT for Vulnerability Detection
  • AI-driven Compliance Tracking
  • Real-World AI in DevSecOps
  • AI for Risk Analysis and Mitigation
  • Limitations of AI in Security Compliance
  • Future of AI in Compliance and Governance
  • Section Summary
  • Chapter 4 Quiz

  • Reviewing AI-Assisted Security Tools
  • Best Practices for AI-driven Security
  • Evaluating AI for Security Automation
  • AI-Generated Security Reports
  • Addressing Bias in AI Security Decisions
  • AI-Powered Security Innovations
  • Section Summary
  • Chapter 5 Quiz

  • Summary of Key Takeaways
  • Future Trends in AI-driven DevSecOps
  • Opportunities and Risks in AI Security
  • Additional Learning Resources
  • Final Thoughts and Course Wrap-Up
  • Chapter 6 Quiz
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Instructor

Brian Newman

Brian Newman has worked for the three largest telecommunications companies in the US over the last 30 years. His experience has been in both wireless and wireline networks, focusing on deploying systems, improving operations, and transforming business processes. He has certifications from the Project Management Institute, Scaled Agile, and Verizon in Lean Six Sigma. In 1998, he received a US Patent [#5,835,907], which supported the initial integration of GPS data and cellular networks, leading to the use of smartphone geolocation and mapping that is common around the world today. Newman sees 5G as genuinely transformational and, as such, it has to have security that will enable it to provide less latency, higher bandwidth, and support for millions of concurrent attached devices. He is deeply involved in building and constructing 5G networks that have the right infrastructure from Day 1.

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