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ChatGPT for Cybersecurity Cookbook

You're reading from   ChatGPT for Cybersecurity Cookbook Learn practical generative AI recipes to supercharge your cybersecurity skills

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781805124047
Length 372 pages
Edition 1st Edition
Languages
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Author (1):
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Clint Bodungen Clint Bodungen
Author Profile Icon Clint Bodungen
Clint Bodungen
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Table of Contents (13) Chapters Close

Preface 1. Chapter 1: Getting Started: ChatGPT, the OpenAI API, and Prompt Engineering FREE CHAPTER 2. Chapter 2: Vulnerability Assessment 3. Chapter 3: Code Analysis and Secure Development 4. Chapter 4: Governance, Risk, and Compliance (GRC) 5. Chapter 5: Security Awareness and Training 6. Chapter 6: Red Teaming and Penetration Testing 7. Chapter 7: Threat Monitoring and Detection 8. Chapter 8: Incident Response 9. Chapter 9: Using Local Models and Other Frameworks 10. Chapter 10: The Latest OpenAI Features 11. Index 12. Other Books You May Enjoy

Code Analysis and Secure Development

This chapter delves deep into the intricate process of software development, focusing on a key concern in today’s digital world: ensuring the security of your software system. With the increasing complexity of technology and ever-evolving threats, it has become crucial to adopt a Secure Software Development Lifecycle (SSDLC) that integrates security considerations at each stage. Here, we illustrate how the use of AI, specifically the ChatGPT model, can help streamline this process.

You will learn how to apply ChatGPT in planning and outlining a comprehensive SSDLC, taking into account each phase of development from concept creation to maintenance. Emphasizing the importance of security in every step, we show how ChatGPT can be utilized to craft detailed security requirement documents and secure coding guidelines. The chapter elucidates the generation of these deliverables, demonstrating how they can be collated and shared with your development team and stakeholders to promote a shared understanding of the project’s security expectations.

The chapter further explores the potential of ChatGPT in the more technical aspects of the SSDLC. We will examine how ChatGPT can help identify potential security vulnerabilities in your code and even generate custom scripts for security testing. This practical application of AI illustrates a blend of proactive and reactive measures to bolster your software’s security.

Lastly, we venture into the final stages of the SSDLC—deployment and maintenance. With the importance of clear, concise documentation often overlooked, we illustrate how ChatGPT can be used to generate comprehensive comments and thorough documentation for your code. By the end of this chapter, you will have gained insights into making your software more comprehensible and maintainable for other developers and users, thereby improving the overall lifecycle of your software.

Throughout this chapter, the core theme is leveraging generative AI to create secure, efficient, and maintainable software systems. It showcases the synergy of human expertise and AI, offering you the tools and techniques to harness ChatGPT and the OpenAI API effectively for secure software development.

In this chapter, we will cover the following recipes:

  • Secure Software Development Lifecycle (SSDLC Planning (Planning Phase)
  • Security Requirement Generation (Requirements Phase)
  • Generating Secure Coding Guidelines (Design Phase)
  • Analyzing Code for Security Flaws and Generating Custom Security Testing Scripts (Testing Phase)
  • Generating Code Comments and Documentation (Deployment/Maintenance Phase)
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