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Course Outline

Foundations of Generative AI

  • Core principles of Generative AI technology
  • Essential concepts: GANs, VAEs, and related architectures
  • The role of Generative AI within the cyber security ecosystem

Generative AI in Offensive Operations

  • Landscape of AI-enhanced cyber threats
  • Deployment of deepfakes in social engineering campaigns
  • The role of AI in malware development and dissemination

Generative AI in Defensive Strategies

  • AI-powered threat detection and response systems
  • Application of Generative AI for security testing and scenario simulation
  • Improving organizational cyber resilience through Generative AI

Ethical and Regulatory Frameworks

  • Ethical dimensions of utilizing Generative AI in cyber security
  • Legal regulations governing AI applications in the security sector
  • Striking a balance between technological innovation and ethical responsibility

Practical Case Analyses

  • Examination of real-world incidents involving Generative AI-based attacks
  • Assessment of successful AI-driven cyber defense implementations

The Future of AI-Integrated Cyber Security

  • Forecasting emerging trends at the intersection of AI and security
  • Readiness strategies for novel and evolving threats
  • Strategic planning for seamless AI integration into security architectures

Practical Workshops

  • Simulation of AI-driven cyber attacks and countermeasures
  • Drafting an organizational ethics policy for Generative AI usage
  • Formulating a strategic roadmap for AI adoption in cyber security

Concluding Summary and Future Actions

Requirements

  • Fundamental knowledge of cyber security principles and standard practices
  • Prior experience in IT management or cyber security operations is an asset
  • A proactive mindset toward exploring the convergence of AI and cyber security

Target Audience

  • Cyber security specialists
  • IT management professionals
  • Policy makers and strategic planners
  • Executive business leaders
 28 Hours

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