Cloud Security Fundamentals

Chapter 28Securing Cloud-integrated IoT and Edge Computing

Securing cloud-integrated Internet of Things (IoT) and edge computing environments requires a fundamentally different approach than traditional data center or cloud-native security models. These architectures extend the enterprise security perimeter into remote, often untrusted physical environments populated by resource-constrained devices, intermittent connectivity, and highly variable software stacks. Understanding how to manage identity, trust, telemetry, and data flows across these decentralized systems is essential to building a resilient and secure cloud infrastructure. As organizations accelerate digital transformation initiatives, the proliferation of edge nodes and IoT sensors introduces new risks that must be accounted for within enterprise security strategies and cloud governance frameworks.

Defining Cloud–Edge and IoT Integration Models

Edge computing and IoT deployments are increasingly reliant on cloud platforms to provide scalable storage, real-time analytics, centralized orchestration, and long-term device management. In these distributed architectures, edge computing refers to the practice of processing data at or near the data source—often on gateways, routers, or micro data centers—to minimize latency and reduce the volume of raw data transmitted upstream. Meanwhile, IoT devices serve as the data origin points, collecting telemetry through sensors and embedded systems, which are typically constrained ...