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AI-Powered Cybersecurity Awareness: Revolutionizing Training with Prompt Engineering

AI-Powered Cybersecurity Awareness: Revolutionizing Training with Prompt Engineering

1h 23mIntermediate2025-04-16

Authors

Christopher Freeman

Christopher Freeman

Course details

With the introduction of more powerful AI tools that allow for deeper analytic power, features such as documentation and image uploading, and handwritten diagram interruption, AI has become a vital tool to help bridge the gap between creative prowess and data analysis. AI can deliver a stunning graphic instead of having to engage a graphic designer or marketing team. AI can be used to create highly targeted and personalized phishing emails for simulations. AI algorithms can generate phishing emails that closely resemble genuine internal communications to create more realistic phishing simulations, better preparing employees to identify and report real phishing attempts.

In this course, learn how you can use AI to revolutionize cybersecurity awareness programs by streamlining content creation, enabling personalized simulations, and enhancing visual communications, allowing you to efficiently develop impactful, data-driven campaigns that resonate with employees and executives.

Learning objectives
Incorporate AI tools and prompt engineering techniques into cybersecurity awareness programs and demonstrate the ability to enhance content creation, personalization, and analysis.
Recognize AI tools that can be utilized to enhance the design of targeted and personalized phishing emails for simulations.
Use tools to analyze complex cybersecurity documents, extract key information, and generate concise, targeted content for various audiences, including executive summaries and awareness materials.
Explain the benefits of utilizing AI ethically to produce and enhance content.

Skills covered

Security AwarenessGovernance, Risk, and ComplianceCybersecurityOne-Off

Concepts

Introduction to AI in Cybersecurity Awareness

  • 01 - Reimagine cybersecurity awareness
  • 02 - Overview of AI's role in modern cybersecurity
  • 03 - Definition and types of AI relevant to cybersecurity
  • 04 - Ethical considerations in using AI for cybersecurity
  • 05 - Balancing creativity and data-driven approaches
  • 06 - Introduction to key AI tools for cybersecurity awareness

1. AI-Powered Research and Content Creation

  • 07 - Use AI to analyze white papers and technical documents
  • 08 - Techniques for extracting key points
  • 09 - Structuring AI outputs for clarity and relevance

2. Visual Communication with AI

  • 10 - Introduction to AI-generated graphics tools for cybersecurity concepts
  • 11 - Translating complex ideas into visually appealing content
  • 12 - Understanding the limitations and potential biases of AI-generated visuals

3. AI-Powered Phishing Simulations

  • 13 - Using AI tools to analyze structured communications
  • 14 - Leveraging AI tools to create phishing scenarios
  • 15 - Ethical best practices in phishing simulations

4. Fundamentals of Effective Prompt Engineering for AI Tools

  • 16 - Techniques for clear and specific prompt giving to AI
  • 17 - Adaptive prompt engineering
  • 18 - Common pitfalls in prompt writing and how to avoid them
  • 19 - Exploring AI tools

Conclusion

  • 20 - Prompt engineering recap
  • 21 - Conclusion

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