AI-Powered Cybersecurity Awareness: Revolutionizing Training with Prompt Engineering
AI-Powered Cybersecurity Awareness: Revolutionizing Training with Prompt Engineering
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 23m | 191 MB
Instructor: Christopher Freeman
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 23m | 191 MB
Instructor: Christopher Freeman
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.
AI-Powered Cybersecurity Awareness: Revolutionizing Training with Prompt Engineering
