AI-Powered Threat Intelligence in Chips Manufacturing: Enhancing Security Against Industrial Espionage and Cyberattacks

Chips manufacturing facilities are prime targets for industrial espionage and cyberattacks due to the sensitive nature of semiconductor designs and fabrication processes. This study explores the role of AI-powered threat intelligence in safeguarding semiconductor supply chains, detecting cyber threats, and mitigating risks associated with industrial espionage. By leveraging machine learning, deep learning, and AI-driven anomaly detection, the research aims to enhance security resilience in chips manufacturing. The paper also discusses challenges, ethical considerations, and future research directions for AI-based security frameworks in semiconductor industries.