Sequitur Labs Joins NVIDIA Partner Network to Protect the Edge

According to a recent release, Sequitur Labs, an IoT company specializing in security for connected devices, has officially joined the NVIDIA Partner Network with full support for the NVIDIA Jetson platform and protection of IP at the edge.

The NVIDIA Jetson edge AI platform powers a range of industrial IoT applications 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 with high performance and energy efficiency in a tiny form factor to leverage AI, deep learning and inference at the edge.

Sequitur’s EmSPARK Security Suite reportedly provides a security framework to protect embedded firmware, keys and security-critical assets. It is designed to enable 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 said it can ensure 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.

“We are pleased to join the NVIDIA Partner Network and support developers looking to deploy AI-powered autonomous machines, robotics, and AIoT applications using the Jetson platform,” said Philip Attfield, Co-founder and CEO, Sequitur Labs. “While many people are fully aware of the need to secure their IP assets, oftentimes manufacturers open themselves up to vulnerabilities by not securing devices at the edge. We believe there is a real need to embed the EmSPARK Security Suite in conjunction with Jetson to provide true end-to-end protection of digital assets.”

Sequitur Labs’ says the 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. IoT hardware manufacturers use EmSPARK for device-level security and developers reportedly can build applications using EmSPARK APIs and SDK.