ML-Driven Decision Making in Realistic Cyber Exercises

13/10/2022 48 min
ML-Driven Decision Making in Realistic Cyber Exercises

Listen "ML-Driven Decision Making in Realistic Cyber Exercises"

Episode Synopsis

In this podcast from the Carnegie Mellon University Software Engineering Institute, Thomas Podnar and Dustin Updyke, both senior cybersecurity engineers with the SEI's CERT Division, discuss their work to apply machine learning to increase the realism of non-player characters (NPCs) in cyber training exercises.

More episodes of the podcast Software Engineering Institute (SEI) Podcast Series