14 min listen
ML-Driven Decision Making in Realistic Cyber Exercises
ML-Driven Decision Making in Realistic Cyber Exercises
ratings:
Length:
49 minutes
Released:
Oct 13, 2022
Format:
Podcast episode
Description
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.
Released:
Oct 13, 2022
Format:
Podcast episode
Titles in the series (100)
Crisis Communications During a Security Incident: In this podcast, participants alert business leaders to be prepared to communicate with the media and their staff during high-profile security incidents. by Software Engineering Institute (SEI) Podcast Series