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ChatGPT for Cybersecurity Cookbook
ChatGPT for Cybersecurity Cookbook

ChatGPT for Cybersecurity Cookbook: Learn practical generative AI recipes to supercharge your cybersecurity skills

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ChatGPT for Cybersecurity Cookbook

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Key benefits

  • Enhance your skills by leveraging ChatGPT to generate complex commands, write code, and create tools
  • Automate penetration testing, risk assessment, and threat detection tasks using the OpenAI API and Python programming
  • Revolutionize your approach to cybersecurity with an AI-powered toolkit
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

This book is for cybersecurity professionals, IT experts, and enthusiasts looking to harness the power of ChatGPT and the OpenAI API in their cybersecurity operations. Whether you're a red teamer, blue teamer, or security researcher, this book will help you revolutionize your approach to cybersecurity with generative AI-powered techniques. A basic understanding of cybersecurity concepts along with familiarity in Python programming is expected. Experience with command-line tools and basic knowledge of networking concepts and web technologies is also required.

What you will learn

  • Master ChatGPT prompt engineering for complex cybersecurity tasks
  • Use the OpenAI API to enhance and automate penetration testing
  • Implement artificial intelligence-driven vulnerability assessments and risk analyses
  • Automate threat detection with the OpenAI API
  • Develop custom AI-enhanced cybersecurity tools and scripts
  • Perform AI-powered cybersecurity training and exercises
  • Optimize cybersecurity workflows using generative AI-powered techniques

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 29, 2024
Length: 372 pages
Edition : 1st
Language : English
ISBN-13 : 9781805125112
Vendor :
OpenAI
Category :
Languages :
Concepts :

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Product Details

Publication date : Mar 29, 2024
Length: 372 pages
Edition : 1st
Language : English
ISBN-13 : 9781805125112
Vendor :
OpenAI
Category :
Languages :
Concepts :

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Frequently bought together


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Table of Contents

12 Chapters
Chapter 1: Getting Started: ChatGPT, the OpenAI API, and Prompt Engineering Chevron down icon Chevron up icon
Chapter 2: Vulnerability Assessment Chevron down icon Chevron up icon
Chapter 3: Code Analysis and Secure Development Chevron down icon Chevron up icon
Chapter 4: Governance, Risk, and Compliance (GRC) Chevron down icon Chevron up icon
Chapter 5: Security Awareness and Training Chevron down icon Chevron up icon
Chapter 6: Red Teaming and Penetration Testing Chevron down icon Chevron up icon
Chapter 7: Threat Monitoring and Detection Chevron down icon Chevron up icon
Chapter 8: Incident Response Chevron down icon Chevron up icon
Chapter 9: Using Local Models and Other Frameworks Chevron down icon Chevron up icon
Chapter 10: The Latest OpenAI Features Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(12 Ratings)
5 star 83.3%
4 star 8.3%
3 star 8.3%
2 star 0%
1 star 0%
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Tiny Jun 11, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Everyone I know is seeking the best options to build AI/ML, and GPT solutions into their current offerings. The “ChatGPT for Cybersecurity Cookbook” (Packt, 2024) by Clint Bodungen offers a detailed schematic for building effective ML solutions into existing practices. The book includes ten chapters, each focusing on a different area. The areas demonstrate clear solutions for framing a solution, building effective tools and library interactions, explaining what the solution accomplishes, and offering advanced solutions. Recommend the book for anyone working to improve their ability to use ChatGpt in accelerating cybersecurity solutions. Each section approaches a different solution but the overall format is an outstanding deep dive for each section. The analysis starts with an introduction to the roles and formats. This details how to construct the ChatGPT query with enough guidance to answer the desired question. The next step suggests how the AI/ML tools find the right answers. The last section in every chapter details a “there’s more” showing how to expand the different questions. Chapters include building ChatGPT into Python language and API calls so one can not just launch a query, but have the query launch every time code executes. All the chapters follow the same path but with different answers. This cookbook shows how roles and queries can be modified to deliver what one wants. One of the biggest benefits is seeing role construction from a cybersecurity expert with 20 years of governance experience to a threat analyst who desires to incorporate MITRE’s ATT&CK frameworks. The book demonstrates how to dig into the various sections for success. Some of the later sections demonstrate how one can point ChatGPT at specific data factors, for example, the AI tool can not execute commands to find traffic data but can be pointed to already collected traffic data to summarize answers. One key flaw to remember is ChatGPT does not solve security problems for you. The best solutions point to frameworks and potential answers. The frameworks still need to be executed by a team or individual to create effective software models, it is just a step ahead in the overall process. That same framework really shows up in the threat analysis, training, and incident response sectors. Each solution builds a format to suggest some answers if pointed at the correct data. The answers are likely to be accurate but one still may need to verify against existing data and metrics. The other gap maybe if the ChatGPT tool is not pointed at specific information, answers may be skewed to what it can achieve. Overall, if you want a quick way to incorporate an AI/ML tool, then “ChatGPT for Cybersecurity Cookbook” provides an excellent reference. From the cookbook perspective, one gets all the recipes for various security items, what the finished product should look like, and potential areas to improve in the future. The explanations are all geared to cybersecurity Recommend this as a key reference for anyone working with ChatGPT functions.
Amazon Verified review Amazon
H2N Apr 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book introduces and guides how to use ChatGPT in the concept of cybersecurity. The book discuses the evolution of ChatGPT from a simple chat interface to a complex cybersecurity practices. Through different practical examples, we can learn how to employ ChatGPT for tasks ranging from vulnerability assessments to incident responses, integrating advanced features such as code debugging and threat intelligence.
Amazon Verified review Amazon
Dennis_Linux Oct 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
“ChatGPT for Cybersecurity Cookbook” by Clint Bodungen offers a well-organized, practical deep dive into the integration of generative AI, specifically ChatGPT, within cybersecurity. From the perspective of a cybersecurity professional, this book stands out as a valuable resource for anyone looking to modernize and automate many of the repetitive tasks in cybersecurity, such as threat analysis, vulnerability management, and policy creation.The book’s greatest strength lies in its focus on practical, actionable “recipes.” Each chapter walks you through real-world use cases for applying ChatGPT to cybersecurity operations. For instance, Bodungen effectively demonstrates how to automate penetration testing and vulnerability assessments using AI-driven techniques, something that can significantly streamline the red team’s workflow . The book’s use of LangChain for parsing and analyzing vulnerability reports, as well as integrating AI for governance, risk, and compliance (GRC) assessments, provides blue teams with a powerful set of tools for enhancing their day-to-day operations .One of the highlights is how the author tackles threat intelligence, using ChatGPT alongside the MITRE ATT&CK framework, which can help automate complex tasks like identifying and categorizing threat actors and their tactics, techniques, and procedures (TTPs). For any seasoned cybersecurity analyst, this can save a lot of time and reduce human error when managing large volumes of data .However, it’s important to note that the book assumes a decent understanding of Python and core cybersecurity concepts. It’s not for absolute beginners but provides significant value for professionals looking to integrate AI into their operations more efficiently.
Amazon Verified review Amazon
Plinth May 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
First of all, you can never go wrong with anything from Packt Publishing. I have been reading their books for a decade, and it is the publisher I look for first.I wasn't going to review this book, because I don't want to many people to know about it. The information you will learn is gold. It will likely be unique knowledge that no other member of your team will have in 2Q2024.I am always recommending books to my professional colleagues. Often I am asked what I am reading, and I happily share this info.However...I have not shared with my peers and colleagues that I purchased this book. If you work in a cut-throat technical environment, where everyone is trying to prove they are the most knowledgeable, or where your ideas are sometimes "stolen" by a peer or manager and doesn't credit you; then you should quietly "sharpen your saw" and never reveal your sources of knowledge.This is one of those books you want to "quietly" read.Get this book. Demonstrate the knowledge, skills, and abilities you will gain from this book. But keep them guessing about how you got so smart.Demonstrate, don't explicate.With that said, I highly recommend this book. ;)Do you need to know Python for this book?No.Should you know some Python for this book?Yes.
Amazon Verified review Amazon
Steven Fernandes Mar 29, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides an in-depth exploration of utilizing the OpenAI API to advance and automate various aspects of cybersecurity. It covers a broad spectrum of applications, from enhancing penetration testing and conducting AI-driven vulnerability assessments to automating threat detection and developing custom cybersecurity tools enhanced by AI. Furthermore, it delves into the utilization of AI for cybersecurity training and exercises, emphasizing the role of AI in optimizing cybersecurity workflows and techniques. This book stands out by not just focusing on the technological advancements but also on the practical implementation of these AI-powered methodologies in real-world scenarios. It's designed for cybersecurity professionals eager to incorporate AI into their work, offering both theoretical knowledge and practical advice on leveraging generative AI to streamline and strengthen cybersecurity practices.
Amazon Verified review Amazon
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