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Course Outline
Introduction to Generative AI
- Understanding Generative AI.
- Key concepts: GANs, VAEs, and more.
- Generative AI in the context of cybersecurity.
Generative AI in Cyber Attacks
- Overview of AI-driven cyber threats.
- Deepfakes and their use in social engineering attacks.
- AI in malware creation and propagation.
Generative AI in Cyber Defense
- AI-driven threat detection systems.
- Generative AI for security testing and simulation.
- Enhancing cybersecurity resilience with Generative AI.
Ethical and Legal Implications
- Ethical considerations of using Generative AI in cybersecurity.
- Legal frameworks governing AI in cybersecurity.
- Balancing innovation with ethical use of technology.
Case Studies
- Analysis of real-world cyber attacks involving Generative AI.
- Review of successful AI implementations in cybersecurity defense.
Future of Cybersecurity with Generative AI
- Predicting future trends in AI and cybersecurity.
- Preparing for emerging threats.
- Strategic planning for AI integration in cybersecurity.
Hands-On Workshops
- Simulating AI-driven cyber attacks and defenses.
- Developing a Generative AI ethics policy for your organization.
- Creating a strategic plan for AI in cybersecurity.
Summary and Next Steps
Requirements
- A foundational understanding of cybersecurity concepts and practices.
- Experience in IT management or cybersecurity operations is advantageous.
- A strong interest in exploring the intersection of AI and cybersecurity.
Target Audience
- Cybersecurity professionals.
- IT managers.
- Policymakers and strategists.
- Business leaders.
28 Hours
Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
