Aipowered threat intelligence in chips manufacturing enhancing security against industrial espionage and cyberattacks| International Journal of Innovative Science and Research Technology

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

Authors : Jaya Chandra Myla

Volume/Issue : Volume 10 - 2025, Issue 3 - March

Google Scholar : https://tinyurl.com/4ms5xzpf

Scribd : https://tinyurl.com/5975m5jm

DOI : https://doi.org/10.38124/ijisrt/25mar038

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Abstract : 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.

Keywords : AI-Powered Cybersecurity, Industrial Espionage, Semiconductor Security, Cyber Threats, AI-driven Anomaly Detection.

References :

Kaaviya. "AI Surge Triggers Cyber Attacks on Semiconductor Industry." CyberPress, November 19, 2024.
"The Deployment of Artificial Intelligence in Cyber Espionage." SpringerLink, February 2025. 
"South Korea Says Semiconductor Industry Targeted by Cyber-Spies." The Record, March 2024. 
"Designing Defenses: How to Thwart Semiconductor Espionage." Electronic Design, August 2024. 
"Top Cybersecurity Threats in the Manufacturing Industry 2025." Hoxhunt, January 2025. 
"Semiconductor Industry Faced 8 Attacks from Ransomware Groups." The Record, December 2023. 
"8 Biggest Cybersecurity Threats Manufacturers Face." CSO Online, January 2025. 
"Ransomware Attacks on Semiconductor Companies Will Have Detrimental Impact on Production Capabilities." Industrial Cyber, December 2023.
"North Korea Launches Cyber-Attacks on Semiconductor Industry." Cybersecurity Insiders, March 2024. 
"China Is Bombarding Tech Talent With Job Offers. The West Is Freaking Out." The Wall Street Journal, November 27, 2024.

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.

Keywords : AI-Powered Cybersecurity, Industrial Espionage, Semiconductor Security, Cyber Threats, AI-driven Anomaly Detection.