AI-Driven Secure Electronics Manufacturing: Detecting Counterfeit and Hardware Tampering

Dr. Eyal Weiss [Cybord]

Abstract: 

The increasing sophistication of hardware-based cyber threats poses significant risks to the aerospace and defense sectors, where electronic component integrity is paramount. Traditional anti-counterfeiting methods, such as supply chain documentation and sample-based testing, often fail to provide real-time, full-coverage verification. This session introduces an AI-driven automated inspection framework that enhances the detection of counterfeit components, unauthorized modifications, and hardware tampering during manufacturing and deployment. By integrating high-resolution imaging with deep learning anomaly detection models, this approach systematically analyzes PCB assemblies at multiple stages. Bottom-side inspection during component placement identifies unauthorized firmware programming and counterfeit parts, while top-side verification ensures assembled boards remain unaltered. With a 99.3% detection accuracy, this AI-driven solution outperforms conventional X-ray imaging and manual verification, offering a scalable, real-time security layer for high-throughput production environments. This session will present real-world case studies, demonstrating how AI-based verification enhances supply chain security and mitigates risks associated with counterfeit and tampered components as well as cyber threats. Attendees will gain insight into the latest advancements in AI-driven inspection technologies and their critical role in securing military and aerospace electronics against emerging hardware-based attacks.

Biography: 

Dr. Eyal Weiss is the Founder and Chief Technology Officer (CTO) of Cybord, a company specializing in AI-driven solutions for electronic manufacturing that protect against counterfeit and tampered components, providing full transparency and resilience across the supply chain. With over 20 years of experience in multidisciplinary research and development management, Dr. Weiss has established himself as an expert in technology development. Prior to founding Cybord, he served as the R&D department manager at the Soreq Nuclear Research Center, where he led large projects involving over 25 experts.

Dr. Weiss has published several technical papers demonstrating how visual AI technology enhances the detection of counterfeit components, tampered parts, and PCBA anomalies. He is a frequent speaker at industry events, sharing insights on the role of AI in electronics manufacturing. His recent paper on visual AI technology was selected as one of the three Best Technical Papers at IPC APEX EXPO 2025.

Dr. Diganta Das

For more information or questions regarding the technical program (including Professional Development Courses), contact the Conference Chair, Dr. Diganta Das.

Kristin Nafstad

For more information or questions regarding event logistics, exhibitions, and sponsorship, contact Kristin Nafstad.