Securing the Edge AI with wolfSSL on the STM32N6

Unlock advanced security with the STM32N6 and wolfBoot for trusted Edge AI applications.

This webinar explores the security and performance advantages of the STM32N6 for Edge AI, with wolfBoot extending protection through a secure, authenticated boot process. You’ll gain practical insights into how the STM32N6’s unique architecture accelerates AI workloads while maintaining strong security—plus see how wolfBoot establishes a hardware root of trust to ensure that only verified code runs on the device.

Built on the Arm® Cortex®-M55 with Helium™ vector processing, the STM32N6 is engineered for high-performance Edge AI. Its built-in Memory Cipher Engine (MCE) safeguards external flash access, giving developers a robust foundation for secure, efficient, and scalable AI-enabled applications.

wolfBoot, wolfSSL’s secure bootloader, strengthens this platform by ensuring firmware integrity and preventing tampered code from executing. It leverages hardware-assisted root of trust features such as measured boot and secure partitions to protect against attacks even when using external flash storage.

This webinar will cover:
Key features of the STM32N6 for Edge AI
Security standards update: FIPS 140-3, CNSA 2.0, and PQC
Best practices and secure boot with wolfBoot
Cryptographic acceleration and MCE flash protection
TLS 1.3 demo on STM32N6