A visual-AI PCBA inspection solution ensuring cyber-physical security and supply chain integrity.
Cybord announces the launch of ShieldScan, an advanced visual-AI printed circuit board assembly (PCBA) inspection solution that delivers unprecedented visibility and security in electronics manufacturing. ShieldScan automates full PCBA mapping, detects anomalies in real time, and ensures 100% board integrity, protecting manufacturers from supply chain tampering and security threats.
Revolutionizing Electronics Security
With growing concerns over hardware security, unauthorized component substitutions, and regulatory compliance, ShieldScan gives manufacturers the power to verify the integrity of every circuit board by detecting even the smallest modifications.
ShieldScan leverages Cybord’s cutting-edge visual AI technology to deliver several industry-firsts in the field of hardware security and supply chain integrity:
- Detects malicious hardware implants to prevent rogue chips from compromising security.
- Detects missing components.
- Detects unauthorized replacements.
- Verifies component origins to meet strict regulations, including U.S. country-of-origin bans.
- Achieves unmatched traceability with 100% visual verification of every component.
ShieldScan is the only available solution capable of analyzing a fully assembled PCB, accurately identifying and mapping every component—big and small—without relying on BOM lists or CAD files. Its AI-driven optical character recognition (OCR) and natural language processing (NLP) ensure unmatched accuracy in analyzing manufacturer markings, lot codes, date-codes, and compliance data. After only a brief training session of scanning approved boards, ShieldScan is ready for deployment.
Availability
ShieldScan is already integrated with select customers. A Beta version is currently available for integration with enterprises in the electronics manufacturing, aerospace, automotive, and data center industries, with general availability planned for July 2025.
For more information, visit cybord.ai.
