An Industrial Internet-of-Things (IIoT) Cloud builds up a platform to accelerate the realization of factories running Industry 4.0 services. The IIoT cloud interconnects machines, robotic arms, controllers and drivers to form a collaborative platform , which brings the convenience of developing new features, for example, remote controlling, automatic producing, etc. However, the interconnected network may suffer from new security issues and risks. Hence, a method for assessing risks of the IIoT network is required, especially for the core running cloud services for the IoT devices. In this research, a novel AHP (Analytic Hierarchy Process) -based risk assessment model is presented for an IIoT cloud to self-check its own health.