Assessing Cybersecurity Training
July 2019 • Podcast
April Galyardt
April Galyardt, a machine learning research scientist, discusses efforts to develop a new approach to assessing the skills of the cybersecurity workforce.
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Abstract
Simulation environments allow people to practice skills such as setting up and defending networks. If we can record informative traces of activity in these online environments and draw accurate inferences about trainee capabilities, then we can provide evidence-based guidance on performance, assess mission readiness, optimize training schedules, and refine training modules. April Galyardt, a machine learning research scientist, discusses efforts to develop a new approach to assessing the skills of the cybersecurity workforce.
About the Speaker
April Galyardt
Dr. April Galyardt is a statistician specializing in machine learning and Bayesian model building. Dr. Galyardt has applied machine learning to problems in cybersecurity, educational data mining, and ...
Dr. April Galyardt is a statistician specializing in machine learning and Bayesian model building. Dr. Galyardt has applied machine learning to problems in cybersecurity, educational data mining, and cognitive science. Before joining the SEI, Dr. Galyardt was a professor at the University of Georgia and designed and taught the first statistical machine learning course offered by the university.