Advantech and SecEdge Unveil CRA Ready Secure Edge AI Powered by NVIDIA Jetson at GTC 2026
17-03-2026

Advantech, a global leader in industrial edge computing, and SecEdge, a digital security innovator for IoT and edge devices, today announced a strategic collaboration to deliver secure, scalable, and Cyber Resilience Act (CRA) ready MIC-AI computer systems powered by NVIDIA Jetson. The joint offering addresses a growing industry need: protecting AI models deployed across distributed edge environments.
Leveraging Advantech’s MIC-AI computer systems, SecEdge’s SEC TPM™ model protection platform, and AWS IoT Greengrass for secure edge to cloud operations, the collaboration enables enterprises to deploy AI confidently in mission critical and regulated markets.
Securing AI Models on NVIDIA Jetson
As NVIDIA Jetson platforms take on increasingly complex inference workloads, AI models have become critical intellectual property. The Advantech–SecEdge solution protects AI models running on Jetson-based devices from unauthorized access, tampering, and model extraction—ensuring only trusted, verified models are executed in industrial, healthcare, smart city, and transportation applications.
“Edge AI innovation must be matched with strong security foundations,” said Magic Pao, Associate Vice President at Advantech. “At NVIDIA GTC 2026, our collaboration with SecEdge shows how organizations can deploy secure, scalable AI from the edge to the cloud.”
“AI models are the new crown jewels of edge AI,” said Sami Nasser, President and Co-CEO at SecEdge. “Working with Advantech, we’re delivering practical, deployable AI model protection built on NVIDIA Jetson platform to support enterprise growth and regulatory readiness.”
Trusted Edge AI Deployment with AWS IoT Greengrass
Through integration with SecEdge’s SEC TPM™ and AWS IoT Greengrass, the solution enables secure and authenticated deployment, updates, and lifecycle management of AI models across fleets of Advantech devices. It supports local inference, offline operation, secure communication, and centralized visibility via AWS—helping organizations scale Edge AI without compromising security.