What this book covers
Chapter 1, Getting Started: ChatGPT, the OpenAI API, and Prompt Engineering, introduces ChatGPT and the OpenAI API, laying the foundation for leveraging generative AI in cybersecurity. It covers the basics of setting up an account, mastering prompt engineering, and utilizing ChatGPT for tasks including code writing and role simulation, setting the stage for more advanced applications in subsequent chapters.
Chapter 2, Vulnerability Assessment, focuses on enhancing vulnerability assessment tasks, guiding you through using ChatGPT to create assessment plans, automate processes with the OpenAI API, and integrate with frameworks including MITRE ATT&CK for comprehensive threat reporting and analysis.
Chapter 3, Code Analysis and Secure Development, delves into the secure software development lifecycle (SSDLC), showing how ChatGPT can streamline the process from planning to maintenance. It highlights the use of AI in crafting security requirements, identifying vulnerabilities, and generating documentation to improve software security and maintainability.
Chapter 4, Governance, Risk, and Compliance (GRC), offers insights into using ChatGPT for enhancing cybersecurity governance, risk management, and compliance efforts. It covers generating cybersecurity policies, deciphering complex standards, conducting cyber risk assessments, and creating risk reports to strengthen cybersecurity frameworks.
Chapter 5, Security Awareness and Training, focuses on leveraging ChatGPT in cybersecurity education and training. It explores creating engaging training materials, interactive assessments, phishing training tools, exam preparation aids, and employing gamification to enhance learning experiences in cybersecurity.
Chapter 6, Red Teaming and Penetration Testing, explores AI-enhanced techniques for red teaming and penetration testing. It includes generating realistic scenarios using the MITRE ATT&CK framework, conducting OSINT reconnaissance, automating asset discovery, and integrating AI with penetration testing tools for comprehensive security assessments.
Chapter 7, Threat Monitoring and Detection, addresses the use of ChatGPT in threat intelligence analysis, real-time log analysis, detecting advanced persistent threats (APTs), customizing threat detection rules, and using network traffic analysis to improve threat detection and response capabilities.
Chapter 8, Incident Response, focuses on utilizing ChatGPT to enhance incident response processes, including incident analysis, playbook generation, root cause analysis, and automating report creation to ensure efficient and effective responses to cybersecurity incidents.
Chapter 9, Using Local Models and Other Frameworks, investigates the use of local AI models and frameworks in cybersecurity, highlighting tools such as LMStudio and Hugging Face AutoTrain for privacy-enhanced threat hunting, penetration testing, and sensitive document review.
Chapter 10, The Latest OpenAI Features, provides an overview of the most recent OpenAI features and their applications in cybersecurity. It emphasizes leveraging ChatGPT’s advanced capabilities for cyber threat intelligence, security data analysis, and employing visualization techniques for a deeper understanding of vulnerabilities.
