Abstract
This Research Report explores how the resilience of offshore wind farms could be reinforced by artificial intelligence (AI) and intelligent automation, and what actions policymakers and industry should take to enhance the cybersecurity of offshore wind. The findings are the result of a collaborative project between The Alan Turing Institute’s CETaS and Data-Centric Engineering programme. Recent cyberattacks on companies such as Enercon and Vestas underscore the vulnerability of offshore wind infrastructure. To address this, resilience should be enhanced in critical areas such as grid integration points, control centres, and supply chain intersections. The most promising AI applications identified in the research include anomaly-based intrusion detection, intrusion protection systems, and predictive maintenance. The report provides recommendations to enable a shift towards resilience-based engineering, increased heterogeneity in system designs, network segmentation, and enhanced security protocols.