"Measuring the Suitability of Artificial Intelligence in Autonomous Resilience for Cyber Defense"
From facial recognition and recommendation systems to predicting crime rates and autonomous vehicles, Artificial Intelligence (AI) has found widespread application. AI technologies are widely used in defense, including how agent-based systems detect and respond to cyber threats when under attack. While this remains an active area of research, there are important questions regarding the suitability of AI within autonomous resilience for cyber defense, specifically about how end users may use the decisions generated by an AI defense system, and how an end user can better understand and reason about how the AI's decisions are made. Professor Phil Legg and Andrew McCarthy of UWE are collaborating with TRIMETIS and PA Consulting to address these critical research questions, with support from QinetiQ and the Defense Science and Technology Laboratory (DSTL). This work is expected to improve the detection, investigation, and response to cyber threats. This article continues to discuss the collaborative research effort exploring the suitability of AI within autonomous resilience for cyber defense.