New AI-powered method helps protect global chip supply chains from cyber threats
· Source: missouri.edu
In short
University of Missouri researchers have developed an AI-driven method using large language models to detect hardware trojans in computer chips with 97% accuracy. The system not only identifies malicious modifications in chip designs but also provides explanations, making the detection process faster and more transparent. This approach helps protect global supply chains by catching threats early in production, preventing costly recalls and security breaches.
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Tags: cybersecurity, supply-chain, hardware, detection, semiconductors, automation