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Cyber Security in Industrial Automation Using AI
Abstract
As industries adopt digital technologies like the Internet of Things (IoT) and Industrial Control Systems (ICS), the vulnerability of these systems to cyberattacks has increased, making traditional cybersecurity measures insufficient. AI enhances industrial cybersecurity by leveraging machine learning algorithms for anomaly detection, enabling predictive analytics to forecast potential vulnerabilities, and automating incident responses for faster mitigation of threats. Additionally, AI improves malware detection through behavioral analysis, complementing signature-based approaches, and streamlining routine security tasks. The predictive capabilities of AI enable organizations to proactively address risks, ensuring that critical infrastructure remains secure. As a result, AI significantly bolsters the security posture of industrial systems, providing adaptive and scalable solutions to the challenges posed by modern cyber threats.
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