Machine Learning in Cybersecurity: 7 Questions for Decision Makers
December 2019 • Podcast
Jonathan Spring, April Galyardt, Angela Horneman
April Galyardt, Angela Horneman, and Jonathan Spring discuss key questions that managers and decision makers should ask about machine learning to effectively solve cybersecurity problems.
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Abstract
April Galyardt, Angela Horneman, and Jonathan Spring discuss seven key questions that managers and decision makers should ask about machine learning to effectively solve cybersecurity problems.
About the Speaker

Jonathan Spring
Jonathan Spring is a senior member of the technical staff with the CERT division of the Software Engineering Institute (SEI) at Carnegie Mellon University. Spring began working at the SEI in 2009. ...
Jonathan Spring is a senior member of the technical staff with the CERT division of the Software Engineering Institute (SEI) at Carnegie Mellon University. Spring began working at the SEI in 2009. Prior posts include adjunct professor at the University of Pittsburgh’s School of Information Sciences and research fellow for the ICANN’s Security and Stability Advisory Committee (SSAC). At the SEI, Spring’s work focuses on producing reliable evidence for various levels of cybersecurity policies. Spring’s approach to work balances leading by example with reflecting on study design and other philosophical issues. Spring earned a doctoral degree in computer science from University College London.

Angela Horneman
Angela Horneman is a network intelligence analyst for the SEI's CERT Division. Her focus is on helping others understand network cybersecurity topics and solve related problems so that they can make ...
Angela Horneman is a network intelligence analyst for the SEI's CERT Division. Her focus is on helping others understand network cybersecurity topics and solve related problems so that they can make better decisions, improve their security posture, and better interact in the cyber world. Prior to joining CERT in 2013, she worked for a software company where her responsibilities included release management, technical writing, application support, and assisting business analysts and developers.