This comprehensive course delves into the transformative impact of Large Language Models (LLMs) and Generative AI on cybersecurity. Participants will explore the cutting-edge applications of these technologies across various aspects of cybersecurity, from threat detection and vulnerability assessment to risk management and ethical considerations. Through in-depth case studies and practical examples, attendees will gain a thorough understanding of how to leverage LLMs to enhance cybersecurity practices, while navigating the associated challenges and ethical implications.
The major topics that will be covered in this course include:
- Introduction to Generative AI in Cybersecurity
- Fundamentals of LLMs in Cybersecurity
- Advanced Training Programs Using LLMs
- Comprehensive Risk Assessment with AI
- Enhancing Red Teaming Strategies
- Real-World Applications of LLMs in Vulnerability Detection
- Threat Simulation and Security Reinforcement
- Privacy Concerns in Generative AI Deployment
- Ethical Considerations and Best Practices
- Operationalizing LLMs with "Digital Dozen" Cybersecurity Frameworks
- Case Study: Developing a Comprehensive Generative AI Cybersecurity Plan
- Future Trends and Conclusion
Who should attend:
This course is designed for CPAs, accountants, and financial professionals who seek a foundational understanding of AI-driven cybersecurity concepts and their implications for the accounting industry. It is ideal for those who want to familiarize themselves with key resources and strategies in AI cybersecurity, enabling them to better protect financial data, understand emerging risks, and contribute to their organization's overall security posture. No advanced technical knowledge is required, making it suitable for professionals at all experience levels who wish to stay informed about the intersection of AI, cybersecurity, and accounting practices.
