Edge and Embedded AI for Secure IoT Systems

The rapid expansion of the Internet of Things has increased the demand for security mechanisms that are robust, scalable, and capable of real-time response. Traditional cloud-centric security approaches often suffer from latency, reliance on continuous connectivity, privacy concerns, and high energy consumption, making them unsuitable for resource-constrained IoT environments. Edge and embedded Artificial Intelligence address these challenges by enabling intelligent security functions closer to the data source. Deploying threat detection and response directly on edge nodes and IoT devices allows faster reaction to attacks, reduced data exposure, and continued operation during limited cloud access. This chapter examines the fundamentals of edge and embedded AI, the IoT threat landscape, AI-based security techniques for low-power devices, supporting hardware mechanisms such as secure boot and hardware trust and challenges including adversarial attacks, secure updates and emerging trends.