Uploaded October 2025 | Updated September 2026, 2 weeks ago

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Connected vehicles are growing fast, and so are the cybersecurity threats. In this SOAFEE Blueprint, VicOne shows how adaptive edge AI can move detection and response out of the cloud and into the vehicle.

Built on SOAFEE’s cloud-native architecture, together with Llama and PyTorch from Meta and accelerated by Arm's Kleidi libraries, VicOne’s xCarbon Edge AI Blueprint enables continuous threat learning, faster validation, and lower operational costs. By testing and fine-tuning AI models in the cloud and deploying them virtually to the edge, carmakers can roll out protection updates faster and more efficiently.

Learn how VicOne’s Blueprint helps OEMs and suppliers:
• Detect and respond to attacks in real time
• Cut cloud processing and transfer costs by up to 60%
• Reduce hardware dependency through Arm-optimized workloads

Explore how VicOne's SOAFEE Blueprint makes automotive cybersecurity more scalable, adaptive, and future-ready: soafee.io/blog/2025/vicone-blueprint

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