Book Image

ChatGPT for Cybersecurity Cookbook

By : Clint Bodungen
Book Image

ChatGPT for Cybersecurity Cookbook

By: Clint Bodungen

Overview of this book

Are you ready to unleash the potential of AI-driven cybersecurity? This cookbook takes you on a journey toward enhancing your cybersecurity skills, whether you’re a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models such as ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape. ChatGPT for Cybersecurity Cookbook shows you how to automate and optimize various cybersecurity tasks, including penetration testing, vulnerability assessments, risk assessment, and threat detection. Each recipe demonstrates step by step how to utilize ChatGPT and the OpenAI API to generate complex commands, write code, and even create complete tools. You’ll discover how AI-powered cybersecurity can revolutionize your approach to security, providing you with new strategies and techniques for tackling challenges. As you progress, you’ll dive into detailed recipes covering attack vector automation, vulnerability scanning, GPT-assisted code analysis, and more. By learning to harness the power of generative AI, you'll not only expand your skillset but also increase your efficiency. By the end of this cybersecurity book, you’ll have the confidence and knowledge you need to stay ahead of the curve, mastering the latest generative AI tools and techniques in cybersecurity.
Table of Contents (13 chapters)

To get the most out of this book

To maximize the benefits derived from this book, you are encouraged to possess the following:

  • A foundational grasp of cybersecurity principles, including prevalent terminology and best practices, to contextualize the applications of ChatGPT within the security landscape. (This book is not intended to be an introduction to cybersecurity.)
  • An understanding of programming fundamentals, particularly in Python, as the book employs Python scripts extensively to demonstrate interactions with the OpenAI API.
  • Proficiency with command-line interfaces and a rudimentary knowledge of networking concepts, essential for executing the practical exercises and understanding the cybersecurity applications discussed.
  • A basic familiarity with web technologies such as HTML and JavaScript, which underpin several web application security and penetration testing examples presented in the book.

Software/hardware covered in the book

OS requirements

Python 3.10 or higher

Windows, macOS, and Linux (any)

A code editor (such as VS Code)

Windows, macOS, and Linux (any)

A command-line/terminal application

Windows, macOS, and Linux (any)

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Important note

Generative AI and LLM technology is evolving extremely fast, so much so that in some cases you will discover that some examples in this book might already be outdated and not function as intended due to recent API and/or AI model updates, and even the ChatGPT web interface itself. As such, it is imperative to reference the most recent code and notes for this book from the official GitHub repository. Every effort will be made to keep the code up to date in order to reflect the latest changes and updates by OpenAI and other technology providers used throughout this book.

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/ChatGPT-for-Cybersecurity-Cookbook. If there’s an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!