Mocana TrustCenter Joins TrustPoint in Securing IoT Devices

Mocana Corporation—a security solution provider for industrial control systems (ICS) and Industrial Internet of Things (IIoT)—recently launched Mocana TrustCenter, the first platform to automate cybersecurity throughout the entire lifecycles of IoT devices and industrial systems. This includes integrated security all throughout software development, manufacturing and device enrollment, as well as routine firmware updates.

TrustCenter also supplements Mocana’s preestablished Internet of Things (IoT) endpoint security software TrustPoint, a service that currently protects over 100 million ICS, IoT devices, controllers and gateways. TrustPoint achieves this through FIPS 140-2 Level 1 validated cryptography, a measure pre-integrated into more than 70 chipsets and 30 real-time operating systems (RTOs).

With the new TrustCenter software, Mocana aims to help IoT device manufacturers and operators secure their data from their public/private clouds right down to the hardware itself, essentially automating that security at every level of the IoT device life cycle. Specifically, the software will operate throughout device onboarding, enrollment and over-the-air (OTA) updates.

According to a Mocana, “TrustCenter’s automated approach reduces the time it takes to install secure credentials on a device from minutes to seconds.” The company achieved this by exploiting the Intel Enhanced Privacy ID (Intel EPID) identity built into the silicon and integrating the software with the Intel Secure Device Onboard (Intel SDO) service.

TrustCenter and TrustPoint make up Mocana’s IoT Trust Platform, a one-two punch combo for IoT cybersecurity. Together, the platform’s two components secure the entirety of the supply chain by securely enrolling and updating firmware updates from the silicon vendor, to the device manufacturer, to the integrator and, finally, to the end user. Also, due to its proposed efficiency, the platform has the potential to save on the time and cost of running less efficient models.

Fonte: Engineering