Author: EIS Release Date: Oct 28, 2020
Sequitur Labs has joined the NVIDIA Partner Network with support for the NVIDIA Jetson platform.
The NVIDIA Jetson edge AI platform powers a range of industrial IoT applications that require various performance levels and prices – from AI-powered network video recorders (NVRs) to automated optical inspection (AOI) in high-precision manufacturing to autonomous mobile robots (AMRs).
The Jetson platform supports cloud-native capabilities across the full lineup and packs unbeatable performance and energy efficiency in a tiny form factor, effectively bringing the power of modern AI, deep learning and inference to the edge.
Sequitur’s EmSPARK Security Suite provides a security framework protecting embedded firmware, keys and security-critical assets through the entire device lifecycle.
It enables silicon hardware security features, secure device provisioning, and API access to essential trust services such as secure storage, firmware updates and payload verification.
In providing support for NVIDIA Jetson, Sequitur ensures that next-generation autonomous machines are protected on the devices themselves, not just as part of a network, to prevent them from being compromised – thereby securing ML/AI assets at the edge.
Sequitur Labs’ EmSPARK Security Suite was designed to address solutions in industries where embedded security is paramount, such as industrial control, building automation, the smart home, machine vision, automotive communication and medical devices.
Built on three pillars of product security – design, build and sustain – EmSPARK provides a robust security framework protecting embedded firmware, keys and security-critical assets through the entire device lifecycle.
IoT hardware manufacturers use EmSPARK to implement device-level security by addressing all the technical, IP, supply chain and business process challenges.
Developers can build applications using EmSPARK APIs and SDK without having to become experts in cryptography and complex hardware security technologies.