TECH & AI Claudia explains:“ AI systems can analyse complex grid conditions during an incident and recommend specific responses based on predicted outcomes and historical data.” This can enable faster, more informed responses to both cyber and physical threats.
GE Vernova has implemented AIdriven asset management systems that predict equipment failures and calculate remaining useful life. The company has developed more than 100 digital twins for various substation assets and rotating machines. These virtual replicas use machine learning to detect incipient failures and alert maintenance teams before problems become critical.
However, utilities must balance the need for comprehensive data analysis with requirements to protect customer information. Techniques such as data minimisation, anonymisation and federated learning approaches can help address these concerns.
Security for utilities GE Vernova’ s GridBeats portfolio contains solutions that provide asset visibility, vulnerability tracking, patch management, network monitoring for threat detection and rapid incident response capabilities. The technology is designed to minimise downtime in the event of a cyberattack.
“ Our technology is developed following an IEC62443-4-1 certified secure development lifecycle process to ensure that security is present at every stage of the design,” Claudia says.
112 September 2025