Cybersecurity Challenges in AI-Driven Energy Systems

Abstract

Artificial intelligence in energy systems has brought a significant improvement of efficiency, management and optimization making them dependable, there are also big concerns in the cybersecurity domain. A major worry is the risk of AI algorithms being influenced by data poisoning which is when bad actors introduce corrupted data to cause malfunctions on a system. AI-powered energy systems frequently connect thousands of IoT devices and every one of these represents a potential gateway to a system breach if not correctly protected. In addition, threats such as ransomware, phishing and Distributed Denial of Service (DDoS) attacks can compromise the integrity of energy management systems. Security of AI models and data, strong encryption protocols to ensure that these infra are secure from the cyber threat elites of today because of which we must build a real-time monitoring system too. Energy industry can prevent catastrophe by prioritizing cybersecurity.