Embedded AI - Intelligence at the Deep Edge
“Intelligence at the Deep Edge” is a podcast exploring the fascinating intersection of embedded systems and artificial intelligence. Dive into the world of cutting-edge technology as we discuss how AI is revolutionizing edge devices, enabling smarter sensors, efficient machine learning models, and real-time decision-making at the edge.
Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the podcast.
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Embedded AI - Intelligence at the Deep Edge
The Convergence of IoT Vulnerabilities and AI Bots
In this episode, we explore how insecure Internet of Things (IoT) devices and AI-powered bots are colliding to create one of the fastest-growing cybersecurity threats in the world. With millions of low-cost devices shipped every year (many running default passwords, outdated firmware, or no update mechanism at all) the global IoT ecosystem has quietly become an enormous attack surface. Today, nearly one in three cyber breaches involves an IoT device.
At the same time, attackers are weaponizing AI. Modern botnets are no longer just scripts: they’re autonomous, adaptive systems that use large language models and other AI tools to write malware, evade detection, and coordinate attacks at machine speed. Bots now make up the majority of all internet traffic, and they are increasingly capable of operating without human oversight.
The episode highlights the growing financial and operational risks and argues that defending against machine-speed threats requires a fundamental shift. The solution will demand secure-by-design IoT hardware, stronger regulation, and the deployment of AI-powered defense systems that can fight back as fast as attackers evolve.
If you are interested in learning more then please subscribe to the podcast or head over to https://medium.com/@reefwing, where there is lots more content on AI, IoT, robotics, drones, and development. To support us in bringing you this material, you can buy me a coffee or just provide feedback. We love feedback!