embedded world: Infineon PSOC MCUs meet PSA Level 4

The PSA Certified Level 4 device certification is targeted by implementing an on-chip, hardware-isolated enclave that provides secured boot, key storage and crypto operations in all PSOC Edge E8x devices.  

“By aspiring to achieve this robust embedded security certification, IoT designers for edge applications such as wearables and smart home applications can be confident their products can achieve highest levels of security,” said Erik Wood, Senior Director Product Security for IoT, Computer and Wireless business, Infineon Technologies. “Integrating hardware security on the MCU also unlocks new edge computing markets such as printers and payment terminals that previously required discrete security chips. As a security leader, we are committed to enabling designers to reach the highest level of security for all applications.”

PSA Certified is a security framework established by Arm and industry partners in 2019. It provides both design guidelines and independent security evaluations through third-party labs intended to assure that all connected devices are built upon a Root of Trust. PSA Certified certifications achieved by an MCU extend through the value chain, allowing device builders and application providers to reuse that certification as they deploy products in the field. 

“Connected device security is critical to scaling IoT deployments, and something that Arm and its ecosystem is committed to continuing to drive through initiatives like PSA Certified,” said David Maidment, Senior Director, Secure Devices Ecosystem at Arm. “We applaud Infineon’s ongoing commitment to robust device security by striving to achieve PSA Certified Level 4 iSE/SE for its new family of MCUs.”  

Infineon’s new PSOC Edge E81, E83 and E84 microcontrollers are based on the high-performance Arm Cortex-M55, including Helium DSP support paired with Arm Ethos-U55, and Cortex-M33 paired with Infineon’s ultra-low power NNLite — a proprietary hardware accelerator intended to accelerate neural networks.

Optimized for machine-learning applications running on connected systems at the Internet edge, the fully-integrated system-on-chip devices allow designers to bring advanced artificial intelligence functionality to IoT and consumer applications.

As with all Infineon MCUs, the series is supported by Infineon’s ModusToolbox software platform, which provides a collection of development tools, libraries, and embedded runtime assets for a flexible and comprehensive development experience.

ModusToolbox supports a wide range of use cases including consumer IoT, industrial, smart home, wearables, and many other applications.