Benefits and Limitations of Generative AI for Cybersecurity Awareness Training

Tuesday, October 15, 2024

4:30pm – 5:30pm PT

Location: Milano I - IV

CPE Credits 1

Speaker(s)

Brian R. Callahan, PhD, ISSMP, CISSP, CCSP, SSCP, CC, CISM

Senior Lecturer
Rensselaer Polytechnic Institute
Rensselaer Polytechnic Institute, United States

Co-Speaker(s)

Shoshana L. Sugerman

Student
Rensselaer Polytechnic Institute, United States

Cybersecurity awareness training for organizations of all sizes can be enhanced with thoughtful use of Generative AI tools. However, best practices for this particular use of Generative AI has not been well codified. This presentation showcases how a professor and a team of students engaged in a multi-semester project to use Generative AI to develop, deliver and iterate on security awareness training for their campus community.

We have formulated a first set of best practices for how to use Generative AI to maximize the effectiveness and comprehensiveness of security awareness training. We will present our research findings, discuss victories and pitfalls, and provide new research, thinking and actionable techniques to refine your organization's security awareness training for all employees to go Boldly Forward more safely.

Learning Objectives:

Understand the unique benefits and limitations of using Generative AI to enhance your organization's cybersecurity awareness training.
Learn to conduct reviews of your current security awareness training practices to identify areas of opportunity for improvement when enhanced with Generative AI tools.
Identify biases and other limitations in the use of Generative AI so as to ensure the tool maximizes inclusion and efficacy in your security awareness training.