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 :

  1. Kaaviya. "AI Surge Triggers Cyber Attacks on Semiconductor Industry." CyberPress, November 19, 2024.
  2. "The Deployment of Artificial Intelligence in Cyber Espionage." SpringerLink, February 2025. ​
  3. "South Korea Says Semiconductor Industry Targeted by Cyber-Spies." The Record, March 2024. ​
  4. "Designing Defenses: How to Thwart Semiconductor Espionage." Electronic Design, August 2024. ​
  5. "Top Cybersecurity Threats in the Manufacturing Industry 2025." Hoxhunt, January 2025. ​
  6. "Semiconductor Industry Faced 8 Attacks from Ransomware Groups." The Record, December 2023. ​
  7. "8 Biggest Cybersecurity Threats Manufacturers Face." CSO Online, January 2025. ​
  8. "Ransomware Attacks on Semiconductor Companies Will Have Detrimental Impact on Production Capabilities." Industrial Cyber, December 2023.
  9. "North Korea Launches Cyber-Attacks on Semiconductor Industry." Cybersecurity Insiders, March 2024. ​
  10. "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.

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