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 Duration 28 hours

Course Outline

Foundations of Generative AI

  • Core principles of Generative AI
  • Essential concepts including GANs, VAEs, and related technologies
  • The role of Generative AI within the cybersecurity sector

Generative AI in Offensive Operations

  • Overview of threats enabled by AI
  • The use of deepfakes in social engineering tactics
  • AI's role in the development and spread of malware

Generative AI in Defensive Strategies

  • Systems for AI-driven threat identification
  • Utilizing Generative AI for security testing and scenario simulation
  • Improving cyber resilience through Generative AI

Ethical and Regulatory Dimensions

  • Ethical aspects of deploying Generative AI in cybersecurity
  • Legal structures regulating AI in the security domain
  • Striking a balance between technological innovation and ethical responsibility

Practical Case Analyses

  • Examination of real-world incidents involving Generative AI attacks
  • Study of effective AI deployments in defensive operations

The Future of Security with Generative AI

  • Forecasting upcoming trends at the intersection of AI and security
  • Getting ready for emerging security challenges
  • Strategic roadmaps for AI adoption in cybersecurity

Practical Workshops

  • Simulation of AI-driven attacks and corresponding defenses
  • Drafting an organizational ethics policy for Generative AI
  • Formulating a strategic roadmap for AI in security

Recap and Path Forward

Requirements

  • Familiarity with fundamental cybersecurity principles and standard practices
  • Prior experience in IT management or cybersecurity operations is advantageous
  • A keen interest in exploring the convergence of AI and cybersecurity

Target Audience

  • Cybersecurity specialists
  • IT executives and managers
  • Policy developers and strategists
  • Senior business leaders

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