Microsoft is taking huge leaps towards the contribution in the IoT platform security. This is because the massive growth in building intelligent devices is observed since past few years and with this rate of development a huge adoption of interconnected devices shall be observed 10 years from now.
For IoT security, Microsoft has announced two major advancements:
- Azure Sphere: it is a solution for the security of nextGen IoT devices at an intelligent edge. It includes three major components that work together for security of these devices. These include
a. Azure Sphere-certified MCUs
b. The Azure Sphere OS
c. The Azure Sphere Security Service
- Security Maturity Model: This framework is proposed in order to integrate security into systems for long-term benefits. This gives IoT platform security providers a sustainable approach towards addressing IoT issues. This model is being built in partnership with and is based on Industrial Internet Consortium (IIC) previously Microsoft’s “Seven Properties of Highly Secure Devices”.
IoT solutions are gaining popularity as this technology gets more fast, sleek and cost-effective. It has captured almost all aspects of businesses and daily life in general. In such a popular technology, quality control is of utmost importance.
Enterprises have started to deploy Quality control solutions in the cloud by taking a proactive approach towards quality control. For example, algorithms like Quality Early Warning System (QEWS) are developed and incorporated into the IBM Prescriptive Quality on Cloud which helps manufacturers to discover problems earlier in supplier material along with problems arising in production processes.
Considering the huge amount of data being generated by applying IoT solutions to business processes, QC solutions prioritize the problems and generate alerts based on priority and those issues shall be addressed immediately that are critical. Hence 100% Quality control is not possible; however proactive approaches provide detailed perspective regarding product quality during manufacturing and are most beneficial to adopt.