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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
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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

Analyzing network diagrams with OpenAI’s Image Viewer

The advent of OpenAI’s advanced vision models marks a significant leap in AI’s capability to interpret and analyze complex visual data. These models, trained on vast datasets, can recognize patterns, identify objects, and understand layouts in images with remarkable accuracy. In the realm of cybersecurity, this capability becomes invaluable. By applying these vision models, cybersecurity professionals can automate the analysis of intricate network diagrams, a task that traditionally requires significant manual effort.

Network diagrams are pivotal in understanding an organization’s IT infrastructure. They illustrate how various network components like routers, switches, servers, and firewalls are interconnected. Analyzing these diagrams is crucial for identifying potential vulnerabilities, understanding data flow, and ensuring network security. However, the complexity and detail in these diagrams can...

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