Enterprise tenants are turning to the edge to solve problems of cloud network security, latency and high costs.
Nearly 33% of organizations that store all sensitive data in the cloud had security incidents in the past year, according to a recent report by Netwrix, a cloud data security firm. The report found that the most common reasons for security incidents in the cloud were malware 47%, external attack 44% and accidental errors 36%.
Close to half, 48% of respondents who store sensitive data in the cloud indicated that they have considered moving their data back on-premises due to data security and high costs related to cloud migration.
The Role of Edge Computing in Securing the Enterprise
As building owners, factories and enterprises deploy more Internet of Things (IoT) devices and sensors to collect, store and analyze data, edge computing is poised to become a vital component in the provision of data security in the future.
An edge infrastructure provides a platform for security tools that can protect IoT devices by hosting secure access gateways that connect device networks to the larger enterprise network. It also is capable of hosting behavioral threat analytics systems focused on devices and gateways supporting systems associated with an IoT deployment.
By keeping behavioral analysis close to the device layer through an edge computing infrastructure, organizations can reduce latency and security responses to cyber events on devices and sensors.
For example, when faced with a cyber-attack on office thermostats edge computing enables a fast and decisive security response which can block all network traffic from those devices in seconds.
The Edge & Cloud Hybrid Model
As the number of IoT devices more than doubling in number compared to the human population, and reach a whopping 20 billion by 2020, large enterprises are making a shift to hybrid model for data storage needs.
As the cloud becomes increasingly crowded, more organizations are using edge computing as a means to free up cloud space for general-purposes such as enabling remote access for off-site employees while keeping sensitive data on-premises.
The lower dependence on cloud technology helps applications perform faster and reduces latency which is especially important to manufacturing and industrial facilities.
For example, data related to GPS routes may come from the cloud while data related to smart factory settings and devices should be left on-premises for providing heightened security and latency.
By migrating from a cloud to an edge infrastructure, larger enterprises are also able to reduce cost related to data transport and storage. Microdata centers locally storing and processing data consume less bandwidth and operate under conditions when connection to the cloud is affected due to limited connectivity or other issues, enabling business operations to carry without interruption.
Commercial Real Estate & Edge Computing
As major technologies driving the digital workplace, such as artificial intelligence, big data, and Internet of Things (IoT) start to converge in the commercial real estate industry, edge computing can serve as a significant means of increasing revenue and driving tenant satisfaction.
The growing need to access, use and exploit data harvested from intelligent apps is driving enterprises to re-evaluate how and where they store their data.
And while storing data in the cloud has enabled the digital workplace to thrive, the commercial real estate industry may need to consider adopting edge computing as an amenity to meet the changing needs of enterprise tenants.
Many experts argue that access to data and the analysis of that data is the cornerstone of the intelligent digital workplace and will fuel profitability for commercial real estate owners in coming years.
Commercial office building owners with the right combination of space, power, and fiber connectivity are well leveraged to meet the emerging demand for edge computing and urban micro data centers.