Blog Posts
Using Machine Learning to Increase the Fidelity of Non-Player Characters in Training Simulations
Use of machine-learning (ML) modeling and a suite of software tools to create decision-making preferences that make non-player characters (NPCs) more realistic in simulations.
• By Dustin Updyke, Thomas Podnar, Geoffrey Dobson, John Yarger
In Cyber Workforce Development
Generating Realistic Non-Player Characters for Training Cyberteams
Since 2010, researchers in the SEI CERT Division have emphasized the crucial need for realism within cyberteam training and exercise events. In this blog post, we describe efforts underway to …
• By Dustin Updyke, Tyler Brooks
In Cyber Workforce Development
Balancing Cyber Confidence and Privacy Concerns
An important part of an organization's cybersecurity posture includes the monitoring of network traffic for proactive cyber defense. The trend toward implementing network protocols designed to improve personal privacy is …
• By William Reed, Dustin Updyke
In Enterprise Risk and Resilience Management
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