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Advantech, an industrial edge computing company, and SecEdge, a digital security provider for IoT and edge devices, have announced a collaboration focused on supporting cybersecurity for edge AI deployments. The partnership includes MIC-AI computer systems powered by NVIDIA Jetson, designed with considerations for security, scalability, and alignment with Cyber Resilience Act (CRA) requirements. The solution was presented at Nvidia GTC in San Jose, California, on 16–19 March 2026, and is intended to address demand for protecting AI models across distributed edge environments.
The collaboration brings together Advantech’s MIC-AI systems, SecEdge’s SEC TPM™ model protection platform, and AWS IoT Greengrass to support secure edge-to-cloud operations. It is intended to enable organisations to deploy AI in regulated and mission-critical environments.
As NVIDIA Jetson platforms support increasingly complex inference workloads, AI models are treated as important digital assets. The Advantech–SecEdge collaboration focuses on supporting protection of AI models from unauthorised access, tampering, and extraction, so that only authorised models are executed in applications across industrial, healthcare, smart city, and transportation sectors.
The companies have highlighted the importance of AI model protection in supporting enterprise use and alignment with regulatory requirements, with solutions built on the NVIDIA Jetson platform.
Through integration with AWS IoT Greengrass, the solution enables authenticated deployment, updates, and lifecycle management of AI models. It supports local inference, offline operation, secure communication, and centralised visibility via AWS, with the aim of enabling scalability for edge AI environments.
The EU Cyber Resilience Act sets out requirements for connected products, and the jointly developed solution incorporates secure by design and secure by default principles. The approach includes model protection and lifecycle security at the platform level for Jetson devices, with the aim of supporting compliance with regulatory expectations as Edge AI adoption increases.
