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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 cyber security
Generative AI in Cyber Attacks
- Overview of AI-powered 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 cyber resilience with Generative AI
Ethical and Legal Implications
- Ethical considerations of using Generative AI in cyber security
- Legal frameworks governing AI in cyber security
- Balancing innovation with ethical use of technology
Case Studies
- Analysis of real-world cyber attacks involving Generative AI
- Review of successful AI implementations in cyber defense
Future of Cyber Security with Generative AI
- Predicting future trends in AI and cyber security
- Preparing for emerging threats
- Strategic planning for AI integration in cyber security
Hands-On Workshops
- Simulating AI-powered cyber attacks and defenses
- Developing a Generative AI ethics policy for your organization
- Creating a strategic plan for AI in cyber security
Summary and Next Steps
Requirements
- An understanding of basic cyber security concepts and practices
- Experience with IT management or cyber security operations is beneficial
- A willingness to explore the intersection of AI and cyber security
Audience
- Cyber security professionals
- IT managers
- Policy makers and strategists
- Business leaders
28 Hours
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