ChatGPT + Cybersecurity: AI-Powered Tabletops & Training
Use ChatGPT to create realistic cybersecurity scenarios for tabletop exercises, enhancing decision-making and incident response skills.
Use ChatGPT to create realistic cybersecurity scenarios for tabletop exercises, enhancing decision-making and incident response skills.
This course revolutionizes cybersecurity training by integrating ChatGPT into tabletop exercises, helping organizations prepare for unexpected threats. You'll learn to create dynamic, realistic cybersecurity scenarios with branching decision trees that adapt to participants' choices, pushing teams to think critically about complex challenges. The course teaches how to implement "micro-tabletops" - small-scale exercises allowing team members to focus on specific responsibilities, enabling frequent practice and iterative improvement of specific domains. You'll master the flipped interaction pattern where AI leads tabletop facilitation, simulating evolving incidents and dynamically adapting based on team responses. The training includes techniques for injecting real-world pressure into scenarios, mimicking the ripple effects of breaches such as regulatory deadlines or operational disruptions. This approach transforms how organizations practice cybersecurity by generating instant feedback, identifying critical gaps, and refining responses with a fraction of the time and cost of traditional methods.
Instructors:
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What you'll learn
Master the creation of dynamic cybersecurity scenarios with branching decision trees using ChatGPT
Implement micro-tabletops for frequent, targeted practice of specific security domains
Utilize the flipped interaction pattern to let AI facilitate evolving incident simulations
Create exercises that mimic real-world pressure points including regulatory deadlines and stakeholder complaints
Build collaborative decision-making skills across technical, legal, and communications teams
Optimize incident response through iterative AI-powered practice scenarios
Skills you'll gain
This course includes:
2.4 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
The course teaches professionals how to revolutionize cybersecurity training by incorporating ChatGPT into tabletop exercises. It begins by exploring the capabilities of generative AI for facilitating realistic incident simulations and demonstrates practical applications through guided exercises. The second module delves into traditional cybersecurity tabletops and introduces innovative AI enhancements, including the flipped interaction pattern where ChatGPT takes the lead in facilitation, creating dynamic scenarios that adapt to participant responses. The final module focuses on micro-tabletops - smaller, focused exercises that allow teams to practice more frequently and efficiently. Throughout the course, participants learn to create realistic scenarios with branching decision paths, simulate cross-departmental collaboration, and inject authentic pressure into training exercises.
Why Use Generative AI to Help Facilitate Tabletops & Practice Handling Unforeseen Events?
Module 1 · 1 Hours to complete
Introduction to Cybersecurity Tabletops & Generative AI Enhancements
Module 2 · 2 Hours to complete
Practice More Often with Cybersecurity Micro-Tabletops & GPTs
Module 3 · 1 Hours to complete
Fee Structure
Instructors
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
Instructor at Vanderbilt University specializing in AI-powered cybersecurity
Dr. Sam Hays is an instructor at Vanderbilt University, focusing on the intersection of artificial intelligence and cybersecurity. He currently teaches two online courses: "ChatGPT + Cybersecurity: AI-Powered Tabletops & Training" and "Generative AI Cybersecurity & Privacy for Leaders: A Primer". These courses are part of the Generative AI Cybersecurity & Privacy for Leaders Specialization, which aims to equip leaders with the knowledge and tools to address the unique cybersecurity risks introduced by AI while harnessing its potential to strengthen cybersecurity planning and response. Dr. Hays' courses cover critical topics such as using ChatGPT to enhance cybersecurity tabletop exercises, understanding AI-specific security threats, and implementing strategies to improve organizational preparedness against evolving cybersecurity challenges. His work contributes to Vanderbilt University's broader initiatives in the rapidly evolving field of generative artificial intelligence, positioning the institution as a leader in shaping the future of this transformative technology.
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