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Course Outline
Introduction to Generative AI
- Understanding Generative AI.
- Key concepts: GANs, VAEs, and others.
- The role of Generative AI in cyber security.
Generative AI in Cyber Attacks
- Overview of AI-powered cyber threats.
- Deepfakes and their role in social engineering attacks.
- The use of AI in malware creation and propagation.
Generative AI in Cyber Defense
- AI-driven threat detection systems.
- Using Generative AI for security testing and simulation.
- Enhancing cyber resilience with Generative AI.
Ethical and Legal Implications
- Ethical considerations of employing Generative AI in cyber security.
- Legal frameworks governing AI in cyber security.
- Balancing innovation with the ethical use of technology.
Case Studies
- Analysis of real-world cyber attacks involving Generative AI.
- Review of successful AI implementations in cyber defense.
The 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
- A foundational understanding of cyber security concepts and practices.
- Experience in IT management or cyber security operations is advantageous.
- An openness to exploring the intersection of AI and cyber security.
Target Audience
- Cyber security professionals.
- IT managers.
- Policy makers and strategists.
- Business leaders.
28 Hours
Testimonials (1)
Trainer was very knowledgeable and easy to speak to
