40+ Hours of Content + Live Streams
LIFETIME access to 40+ hours of content (and growing), regular updates, and live streams.
Live attendance not required. All live sessions are recorded.
Overview Video
Are you passionate about cybersecurity? Do you want to accelerate your skills development and gain a competitive edge? Look no further! In the rapidly evolving field of cybersecurity (especially when it comes to the threat landscape), you need every advantage you can get. Large language models (LLM) and generative AI tools like ChatGPT, Gemini, and Claude are quickly emerging as that advantage, and this course is here to show you the way!
This isn't just another course that teaches you how to use the web interface to create prompts for cybersecurity.
Whether you are a novice or an expert, this course is a comprehensive journey that takes you beyond just the ChatGPT web interface. You'll learn how to harness the full power of the OpenAI API as well as other frameworks like LangChain and Hugging Face, using commercial and open-source models.
We'll guide you from the basics to advanced techniques with hands-on labs and exciting projects. You'll learn to master large language models for cybersecurity tasks and operations such as penetration testing, conducting AI-powered risk assessments, assessing vulnerabilities and threats, and more!
It's not just about learning; it's about staying ahead. Join us on this extraordinary path to cybersecurity success!
Revolutionize your cybersecurity skills with large language models and gain a competitive edge in this evolving landscape—enroll today!
What You'll Get
- One-time payment: Pay once, and you're done—no subscription, recurring fees or hidden charges.
- Interactive live (virtual) course: Engage with your instructor and fellow learners in real-time during live sessions. Dive deep into the topics with interactive Q&As, gain valuable insights and get immediate feedback.
- All recorded sessions
- Lifetime access: Enjoy unlimited access to all course materials, forever.
- All future updates: Any future updates or additions to the course are yours at no extra cost.
- 40+ hours of instruction
- Access to all source code and lab materials used in the course.
- Certificate of Completion
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Discord community: Join an exclusive Discord community dedicated to the course. Engage in discussions, ask questions, share your progress, network with fellow learners, and continue your learning journey beyond the course.
Practical Learning
This course is not just about learning—it's about doing. You'll dive into ChatGPT, the OpenAI API, LangChain, and multiple large language models, leveraging them for real-world cybersecurity tasks. With guided, step-by-step instruction, you'll work on projects and labs that mirror the challenges faced in today's cybersecurity landscape. This is a unique opportunity to learn and apply cutting-edge AI techniques in cybersecurity—a blend that you won't find in other courses.
World-Class Instruction
You instructor is Clint Bodungen, a world-renowned cybersecurity professional and author of the ChatGPT for Cybersecurity Cookbook and Hacking Exposed: Industrial Control Systems. With over 25 years of experience and a proven track record in AI and cybersecurity, Clint brings an unmatched depth of knowledge to this course. This is your chance to learn directly from an industry leader, in a field where such expertise is rare.
Cybersecurity Focused
This course is designed with one goal in mind: to make you an expert in AI-powered cybersecurity. From mastering ChatGPT prompt engineering to creating your own apps using large language models, you'll learn to implement AI-driven vulnerability assessments, penetration testing, risk analyses, and more. Every example and lab are rooted in real-world cybersecurity tasks. This course goes beyond theory—it equips you with skills that can be directly applied in the field.
What You'll Learn
This comprehensive curriculum takes you from the basics of web-based tools like ChatGPT and Claude 2 to advanced techniques using Python and frameworks like LangChain to build your own AI-powered cybersecurity tools.
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Master prompt engineering
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Utilize the OpenAI API to enhance and automate security testing, GRC, threat detection, and more
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Optimize cybersecurity workflows with large language model powered techniques
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Develop custom AI-enhanced cybersecurity tools and scripts
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Perform AI-powered cybersecurity training and exercises
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Learn to use frameworks like LangChain, Hugging Face, and more
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Learn to use a variety of commercial and open-source models.
Who Should Take This Course?
This course is suitable for:
- Cybersecurity professionals and practitioners who want to leverage generative AI to enhance their security operations, automate tasks, and improve overall efficiency in their roles.
- IT professionals looking to expand their knowledge and skills in cybersecurity and explore the applications of AI-powered tools in various aspects of the cybersecurity domain.
- Students and aspiring cybersecurity professionals seeking to understand how generative AI can be applied to cybersecurity and enhance their own cybersecurity skills.
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Security researchers and enthusiasts interested in exploring the potential of AI-driven tools, like ChatGPT and the OpenAI API, to transform the cybersecurity landscape.
About Your Instructor
Clint Bodungen is more than just your instructor – he's your guide into the world of large language models, generative AI, and cybersecurity. With over 25 years of professional experience, Clint is a recognized figure in the cybersecurity industry. He's the co-founder of cybersecurity firm, ThreatGEN, a best-selling cybersecurity author, and the mind behind the pioneering ThreatGEN® Red vs. Blue Cybersecurity Gamification Platform, an innovative online multiplayer computer game teaching real-world cybersecurity skills and is used in over 80 countries worldwide. Clint's latest innovation is ThreatGEN® AutoTableTop, a revolutionary new way to automate incident response (IR) tabletop exercises using the power of generative AI.
Throughout his career, Clint has sought to revolutionize cybersecurity education and cultivate the next generation of cybersecurity professionals, training literally thousands of people worldwide. He believes in the transformative power of learning through doing, which is why this course emphasizes hands-on projects and practical experience.
Clint's deep knowledge of cybersecurity and LLM/generative AI technology, along with his passion for teaching, make him uniquely equipped to guide you on this journey. He's eager to share his insights and help you dive deeper into the world of ChatGPT (and other generative AI technologies) for cybersecurity.
Curriculum
(Disclaimer: Since this course will be offered live, some of the syllabus could change slightly as we go.)
- Auto AI Agents for Cybersecurity (Open Interpreter, AutoGPT, ChatGPT "Code Interpreter" + Plugins)
- Using ChatGPT and the OpenAI API for Cybersecurity Training, Awareness, and Studying (53:35)
- Using ChatGPT's New Custom GPT Builder (68:31)
- Sam Altman News and Using Custom Actions/APIs in GPT Builder (55:33)
- How to use open-source models, locally and privately! (Hint: It's really easy!) (51:47)
- How to Setup and Use PrivateGPT for Local (and Private) Document Chat (66:11)
- How to user Aider to automatically evaluate for, and automatically fix, vulnerable code. (59:46)
- Using Aider to Create a Local Threat Hunting Tool
- Using the GPT Vision API to Analyze Network Drawings (50:46)
- GRC with PrivateGPT - Cybersecurity Policy (80:33)
- GRC with PrivateGPT - Vulnerability Assessment Process and Risk Reports (68:04)
- Automating Pentetration Test Plans and Threat Mapping (57:33)
- Create Agents and Function Calling for any LLM (Use Case: Query NVD for CVEs) (61:59)
- Red Teaming Using White Rabbit Neo LLM, LM Studio, and Shell GPT - Part 1
- Red Teaming Using White Rabbit Neo LLM, LM Studio, and Shell GPT - Part 2
- Creating a Full-Stack App with GPT-Pilot - Part 1
- Creating a Full-Stack App with GPT-Pilot - Part 2
- Getting Started with ChatGPT, Claude 2, and OpenAI - Part 1 (67:06)
- Getting Started with ChatGPT, Claude 2, and OpenAI - Part 2 (67:30)
- Formatting ChatGPT (and Claude 2) Output with Markdown and Tables (52:45)
- Setting Up Your OpenAI API Key and Interacting with the API Using Python (41:10)
- Using Files and Prompt Variables with the OpenAI API (48:21)
- Prompt Engineering Techniques - Part 1 (50:10)
- Prompt Engineering Techniques - Part 2 (54:55)
- Introduction to Hugging Face and LangChain (32:44)
- Getting Started with LangChain (63:13)
- BONUS CONTENT: Setting Up Virtual Box and Kali Linux (7:44)
- BONUS CONTENT: Installing VS Code (10:51)
- BONUS CONTENT: Setting Up Python on Kali Linux (13:27)
- BONUS CONTENT: Setting Up Python on Windows (2:26)
- BONUS CONTENT: Installing Python, Homebrew, Conda, and VS Code on MacOS (4:22)
- Creating Vulnerability Assessment Plans (57:23)
- Threat Assessment using ChatGPT and MITRE ATT&CK Framework (14:03)
- Generating Command Prompts with ChatGPT and Claude 2 (37:12)
- Creating a Kali Linux Terminal "Genie" with the OpenAI API (26:07)
- Analyzing Vulnerability Assessment Reports using ChatGPT & Claude 2 (27:31)
- Jailbreaking ChatGPT to Create Red Teaming/Penetration Testing Content (25:57)
- Generating Scenarios with MITRE ATT&CK and the OpenAI API (35:47)
- Building and Running Local Interfaces and Models - Part 1 (31:58)
- Building and Running Local Interfaces and Models - Part 2 (+Bonus Super Prompt) (67:13)
- Analyzing Vulnerability Assessment Reports using LangChain (17:48)
- 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)
- Security policy and procedure generation
- ChatGPT-assisted compliance gap analysis
- ChatGPT-guided internal and external audit preparation
- Staying up-to-date with regulatory changes
- Creating a risk assessment process
- ChatGPT-assisted cyber threat modeling
- ChatGPT-assisted risk ranking and prioritization
- Generating risk mitigation strategies
- Building risk assessment reports
- Enhancing risk communication with ChatGPT-generated visuals
- Threat intelligence analysis
- Real-time threat monitoring
- Multi-source threat intelligence aggregation
- ChatGPT-assisted threat classification
- Detecting advanced persistent threats (APTs) using ChatGPT
- Enhancing threat detection with ChatGPT-generated IoCs
- Building custom threat detection rules
- Network traffic analysis and anomaly detection
- Social engineering and phishing detection
- Log and event analysis
- ChatGPT-powered network scanning
- Generating custom payloads with ChatGPT
- ChatGPT-guided vulnerability exploitation
- Social engineering attack simulation
- Developing red team scenarios using ChatGPT
- Wireless network penetration testing
- Web application penetration testing with ChatGPT
- Automated penetration testing assistant
- Creating custom ChatGPT-powered red team tools
Unleash the potential of AI-driven cybersecurity! This indispensable resource takes you on a journey to enhance your cybersecurity skills, whether you are a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models like ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape.
In this book, you'll explore 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. Discover how AI-powered cybersecurity can revolutionize your approach to security, providing you with new strategies and techniques for tackling challenges. Dive into detailed recipes covering attack vector automation, vulnerability scanning, GPT-assisted code analysis, secure development, risk assessment, and governance, risk, and compliance (GRC). By learning to harness the power of generative AI, you'll not only expand your skill set but also increase your efficiency.
Whether you are a red teamer or a cyber-defender, this book will help you stay ahead of the curve, mastering the latest generative AI tools and techniques in cybersecurity.