Measuring the Suitability of Artificial Intelligence in Autonomous Resilience for Cyber Defence

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Artificial Intelligence has attracted wide use in many aspects of society, from facial recognition and recommendation systems, through to predicting crime rates and autonomous vehicles. AI technologies are widely used in defence, including how agent-based systems can detect and respond to cyber threats when under attack from adversaries.

Whilst this continues to be a ripe area of research, there are important questions to be asked about the suitability of AI within autonomous resilience for cyber defence, relating to the usability of AI, specifically on how end users may utilise the decisions that are generated by an AI defence system, and how an end user can better understand and reason about how the decisions of the AI are formulated.

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

This programme of research will impact on how the UK can better identify, investigate and respond to threats in the cyber domain, as well as the impact of cyber across traditional defence areas of land, sea, air and space, and understand the role that artificial intelligence and agent-based systems will have in maintaining the defence and security of the UK.

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