There are many use cases for big data across the various industries. Organizations apply predictive analytic algorithms, data visualizations and other types of data analytic methods to data such as metrics pertaining to customer behavior or measurements related to device power consumption to derive actionable insights. In the digital age, acquiring big data capabilities can give organizations an immediate competitive advantage. However, data security remains is a persistent c

When we speak of data-at-rest, we refer to data that is kept in some type of storage instrument. This can include file storage, servers, private object storage, databases, cloud storage, containers, block storage and endpoints, like IoT or IIoT devices. The data, such as file data and multimedia, may not be retrieved or modified regularly. However, protection for data in this state is just as critical to the overall security of an organization’s overall cyberinfrastructure as

Encryption is a key element of an effective comprehensive cybersecurity framework. In particular, the end-to-end encryption solutions that limit the ownership of decryption keys to only the sender and intended recipient is a fundamental part of protecting digital data and communications. This ubiquitous encryption adds an additional, impenetrable layer of digital security that further supports the enterprises cyber resilience. It is very much needed as organizations have to b

Edge computing is a network principle that situates the processing, analysis and storage of data as close as possible to data sources or end users. By minimizing data transmission time, organizations can avoid the bandwidth limitations, network latency, reduced speed and resource limitations typical in the cloud. An increasing number of organizations are executing fewer processes beyond the network edge and are moving those processes to local places, such as IoT devices, user