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)

Fine-tuning LLMs for cybersecurity with Hugging Face’s AutoTrain

Hugging Face’s AutoTrain represents a leap forward in the democratization of AI, enabling users from various backgrounds to train state-of-the-art models for diverse tasks, including NLP and Computer Vision (CV). This tool is particularly beneficial for cybersecurity professionals who wish to fine-tune LLMs for specific cybersecurity tasks, such as analyzing threat intelligence or automating incident response, without delving deep into the technical complexities of model training. AutoTrain’s user-friendly interface and no-code approach make it accessible not just to data scientists and ML engineers but also to non-technical users. By utilizing AutoTrain Advanced, users can leverage their own hardware for faster data processing, control hyperparameters for customized model training, and process data either in a Hugging Face Space or locally for enhanced privacy and efficiency.

Getting ready

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