Cybord, the Tel Aviv-based provider of visual-AI electronic component analytics, has announced the availability of a fully air-gapped deployment of its inspection and traceability platform. The release targets original equipment manufacturers (OEMs) and contract manufacturers in sectors such as aviation, aerospace and defence, where network isolation requirements have previously prevented adoption of cloud-dependent inspection tools.
The core challenge the platform addresses is a well-documented gap in electronics manufacturing visibility. Once a PCB transitions from design into production, OEMs frequently lose direct sight of the assembly process, relying instead on reported data from contract manufacturers or periodic audits. This opacity creates exposure to counterfeit components, unauthorised substitutions, aged parts and hardware cybersecurity vulnerabilities — risks that conventional functional testing alone cannot reliably detect. Components that pass electrical test may still carry physical anomalies visible only through high-resolution imaging and AI-based analysis.
Cybord's Visual AI approach assigns a verifiable visual record to every component placement and assembly step. The system analyses imagery captured during the SMT process to flag suspect components — whether counterfeit, defective or tampered — before they are soldered into the board. In the air-gapped configuration, all inference, data storage and traceability logging remain within the manufacturer's own secure environment, with no external network dependency.
The company confirmed that the air-gapped platform is currently being integrated with Siemens' Opcenter Execution Electronics, a widely deployed manufacturing execution system (MES) in the electronics industry. Yuval Polishuk, Product Manager AI Solutions at Siemens Digital Industries Software, stated that the integration enriches Opcenter with deep quality data derived from visual-AI inspection, extending the MES with component-level integrity data at the point of placement.
For European electronics manufacturers — particularly those supplying safety-critical or regulated markets — the air-gapped deployment model removes a significant barrier to adopting AI-driven component inspection. Data sovereignty concerns and compliance with frameworks such as GDPR or sector-specific security standards have been cited as limiting factors in cloud-based quality analytics adoption. An on-premises architecture addresses these constraints directly.
The Cybord platform is positioned to complement existing SPI, AOI and AXI processes rather than replace them. While solder paste inspection and optical inspection systems capture process metrics and joint geometry, Cybord's component-level visual analytics focus specifically on the authenticity and physical condition of individual parts prior to and during placement — a layer of inspection not typically covered by conventional in-line equipment. The integration with Opcenter Execution Electronics connects this inspection data to the broader MES traceability record, supporting full genealogy from component reel to finished board.
Cybord has not disclosed specific throughput figures or hardware requirements for the air-gapped configuration. Further technical details are expected as customer integrations progress.
Quelle: Cybord – https://cybord.ai/news_events/press-releases/cybord-announces-air-gapped-visual-ai-platform-for-electronics-integrity-and-hardware-cybersecurity/
