Macronix Introduces All New ArmorBoot MX76 for Security and High Performance in Automotive IoT Markets

The ArmorBoot MX76 owes its outstanding performance during system updates to its enhanced anti-replay attack mechanism. Protection against unauthorized attacks during version updates or execution of secure commands by the system effectively prevents data tampering, malicious attacks, and virus infections. If the system is subjected to security threats or anomalous situations, the integrated advanced protection mechanism switches rapidly over to a secure mode to maintain system stability and greatly reduce security risks. Whether or not used for initial startup or system upgrades/updates, ArmorBoot MX76 works quickly and effectively to protect data against external threats.

Lantronix Launches New Open-Q 8550CS SOM Designed to Meet the Needs of Edge AI Computing

Lantronix’s Open-Q 8550 is uniquely designed to meet the higher AI/ML requirements of extreme Edge computing, including advanced video and AI applications such as video collaboration, video transcoding, camera applications and integration with Edge AI gateways. Like all Lantronix’s embedded compute technology, this platform uniquely provides a complete solution comprised of hardware, software, Device Management and Services, enabling customers to get to market faster. It is an ideal platform for the development of industrial Edge AI products, including drones, controllers, robotics and industrial handheld devices for a variety of industries, including smart warehousing, manufacturing, transportation, logistics and retail.

Trident IoT’s new SDKs provide an intuitive and efficient platform for building, testing, and deploying IoT applications. At the core of device development is ELCap, Trident IoT’s powerful command-line development tool, enabling seamless management of Trident SDKs. ELCap offers a user-friendly interface for developing, building, and flashing Trident SoC-based projects, all from a single, cohesive application. For gateways, Z-Way Controller SDK by Trident is the solution. Multi-protocol, multi-OS development kit ranging from C-Libraries up to a full stack implementation.

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Editor's Desk by Kirsten Campbell

Brains and Armour: Edge AI and Automotive IoT

The race toward intelligent, autonomous and software-defined vehicles isn’t slowing down—and neither is the need for high-performance, highly secure computing at the edge.

The modern vehicle is no longer just a machine—it’s a high-performance, data-rich edge computing platform on wheels.

As the industry accelerates toward software-defined vehicles and autonomous mobility, a new mandate is emerging: smart systems must also be secure, fast, and built for extreme conditions. Welcome to the era of brains and armor—where high-performance edge processors and secure, automotive-grade memory are redefining what’s possible in the connected car.

Why Automotive IoT Needs Edge AI Now

The complexity of automotive workloads has perhaps outgrown the cloud. Tasks like pedestrian detection, gesture recognition, voice command processing, and ADAS decision-making require real-time responsiveness and local execution. Even with 5G on the horizon, the cloud simply can’t guarantee the millisecond-level latency and reliability needed on the road.

Edge AI closes that gap—bringing intelligence closer to the action. With advances in embedded AI processors, microcontrollers, and system-on-modules (SoMs), vehicles can now host advanced neural networks directly onboard. That means faster decisions, lower bandwidth usage, and increased autonomy.

The Heat Is On—Literally

Automotive edge systems aren’t operating in lab conditions. They live in environments that can swing from -40°C in the morning to 125°C under the hood. Add to that vibrations, power fluctuations, and long product lifecycles, and it’s clear: consumer-grade hardware won’t cut it.

Edge processors for vehicles must not only deliver high performance, but also maintain thermal stability, energy efficiency, and fault tolerance. Memory, too, must boot fast, protect against tampering, and survive temperature extremes—all while securing firmware and supporting over-the-air (OTA) updates.

Secure Memory Is the Backbone of Trust

As vehicles become rolling data centers, memory is no longer just about capacity and speed—it’s about integrity. Flash memory now needs to include security features like secure boot, cryptographic protection, and tamper resistance. It's where firmware lives, diagnostics run, and safety-critical routines initiate. A vulnerability in storage is a vulnerability in the entire system.

Intelligence with Protection

To build the next generation of automotive systems, it’s not enough to think fast—you have to think safe. Edge AI gives vehicles the brainpower to make intelligent decisions in real time. Secure memory gives them the armor to keep those decisions protected. We all want to be safe.

The future of automotive IoT will be shaped by technologies that can compute confidently and defend themselves by design. Engineers who balance both sides of the equation will lead the charge toward smarter, safer mobility. What do you think?

What would you like to see, more editorial or less, more of a particular topic, or less? Let us know. Reach out to the Product Editor