Measuring the Suitability of Artificial Intelligence for Autonomous Resilience for Cyber ​​Defense


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Artificial intelligence is widely used in many aspects of society, from facial recognition and recommendation systems to predicting crime rates and autonomous vehicles. AI technologies are widely used in defense, including enabling agent-based systems to detect and respond to cyber threats when attacked by adversaries.

While this area of ​​research remains ripe, important questions remain about the suitability of AI within autonomous resilience for cyber defense, with respect to the usability of AI, particularly on how end users can use decisions generated by an AI defense system, and how an end user can better understand and reason about how AI decisions are formulated.

UWE researchers Professor Phil Legg and Andrew McCarthy are working with TRIMETIS and PA Consulting to answer this important research question, supported by QinetiQ and the Defense Science and Technology Laboratory (DSTL). The project is part of the SERAPIS framework which supports rapid research and innovation to supply the UK Ministry of Defence.

This research program will impact how the UK can better identify, investigate and respond to threats in the cyber domain, as well as the impact of cybersecurity across traditional land, sea, air and defense zones. spatial, and understand the role that artificiality plays. intelligence and agent-based systems will help maintain the defense and security of the United Kingdom.

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