Overview What You Will Learn Curriculum Instructor

Course Overview

As artificial intelligence transforms the cybersecurity landscape, this course explores the potential of ChatGPT and generative AI in vulnerability detection and management. Designed for professionals eager to leverage AI tools for enhanced security, the course provides a thorough understanding of generative AI, its applications, and its limitations in cybersecurity. With a focus on large language models (LLMs), you will gain insights into their capabilities, challenges, and future in addressing cybersecurity threats.

This course begins with an introduction to generative AI and its applications, including a detailed look at OpenAI and the evolution of GPT models. You will learn about the fundamentals of vulnerability detection, including vulnerability types, classifications, and management frameworks. The course also covers web application security essentials, such as OWASP principles and advanced measures to mitigate risks. Building on this foundation, you will explore AI-powered techniques for vulnerability detection, classification, and severity estimation using ChatGPT. Practical sessions will guide you through prompt engineering and real-world applications, while discussions on ethical considerations and AI risks provide a balanced perspective.

By the end of this course, you will be equipped to use ChatGPT effectively for identifying vulnerabilities, analyzing risks, and implementing AI-driven cybersecurity solutions.

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

  • Gain a comprehensive understanding of ChatGPT
  • its underlying technology (Large Language Models)
  • and its unique capabilities for vulnerability detection.
  • Learn to recognize a wide range of vulnerabilities
  • including those related to systems
  • networks
  • web applications
  • and APIs.
  • Familiarize yourself with the OWASP Top 10 vulnerabilities and how to address them.
  • Utilize ChatGPT to generate accurate and effective scanning commands for popular tools like Nmap
  • and Synk.
  • Leverage ChatGPT prompts to pinpoint vulnerabilities in code
  • network configurations
  • system settings
  • and applications.
  • Learn how to leverage ChatGPT to create comprehensive and informative vulnerability reports that can be easily shared with stakeholders.
  • Understand the importance of verifying ChatGPT's findings and how to ensure the accuracy of its output.
  • Grasp the ethical implications of using AI in cybersecurity and how to use ChatGPT responsibly and ethically.

Program Curriculum

  • Overview of Generative AI
  • Examples of Generative AI Models
  • Large Language Models (LLMs) at a Glance
  • Applications of LLM in Cyber Security
  • Challenges and Limitations
  • The Fate of LLMs in Cybersecurity
  • Chapter 1 Quiz

  • Introduction to OpenAI
  • GPT (Generative Pre-trained Transformer)
  • How ChatGPT Works: Training, Fine-tuning, and Inference
  • Evolution of Language Models from GPT-1 to GPT-4
  • Chapter 2 Quiz

  • Finding Vulnerabilities in Cybersecurity
  • Types of Vulnerabilities
  • Vulnerability Classification
  • Vulnerability Management Life Cycle
  • Vulnerability Management Framework
  • Chapter 3 Quiz

  • Understanding IT Vulnerabilities and the OWASP Framework
  • Critical Web Application Security Risks
  • Insecure Designs and Misconfigurations
  • Advanced Security Measures and Monitoring
  • Chapter 4 Quiz

  • ChatGPT for Vulnerability Detection
  • Software Vulnerability Prediction (SVP)
  • Software Vulnerability Classification (SVC)
  • Severity Estimation
  • Chapter 5 Quiz

  • The Art of Prompt Engineering for Detecting Vulnerabilities
  • Prompting Techniques
  • Application of Prompt Engineering in Vulnerability Detection
  • Chapter 6 Quiz

  • The Role of AI in Cybersecurity: Risks, Threats, and Defenses
  • Ethical Considerations and Regulations in AI: Navigating the Risks
  • Balancing AI Risks and Benefits
Load more modules

Instructor

CodeRed Team

CodeRed Team

Tahir is a passionate cybersecurity professional with a First Degree and a Master's Degree in Computer Science. He has dedicated over several years to safeguarding the digital realm. His academic foundation and diverse experience have equipped him with a deep understanding of cybersecurity's complexities. He’s a seasoned expert in vulnerability management, applying risk-based strategies to prioritize and mitigate threats effectively. As an application security specialist, he has honed his skills in secure coding, threat modeling, and vulnerability assessment, ensuring robust application security. His experience as an AI Writing Evaluator at a leading AI organization and an Information Governance expert at a dynamic startup has broadened his perspective on AI-driven threats and defenses. He is proficient in both static and dynamic code analysis, identifying vulnerabilities early in the development lifecycle. Passionate about empowering others, he develops and delivers comprehensive security training programs. Currently, He is involved in three exciting projects that will further expand his knowledge and impact in the cybersecurity field.  

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