Securing Your Cloud Migration With In-Memory Tokenization
Updated: Apr 28, 2021
Of the many types of so-called ‘disruptors’ that have emerged over the years, the cloud has to be one of the best examples. For a start, its disruption is so vast that many of its users are not actually aware that the data which they consume is most likely cloud-based.
From small offices losing their on-premises servers to large organisations moving lock, stock and barrel to the cloud, the benefits have been enjoyed by many. However, the mass migration to the cloud coincides with increased regulation governing data privacy, such as the GDPR.
Not surprisingly, this is a huge concern for the custodians of our data – the data architects.
A perfect storm
Migrating data to the cloud against this regulatory backdrop has become a perfect storm for data architects; while appreciating the advantages that the cloud brings, they know only too well of the issues which can affect their data.
Yet the pressure is on from within their organisations to move to the cloud as everything from the cost to the convenience is being cited, and usually by those who are unaware of the issues that cloud migration brings.
Take hybrid data processing, for example. If you adopt cloud at scale across multiple environments, you run into the problem of trying to manage the native data processing services of each cloud vendor.
Furthermore, there are also issues when it comes to managing data and pipelines in a hybrid architecture.
Tokenization versus In-Memory Tokenization
The traditional approach to data tokenization is to substitute sensitive data with non-sensitive equivalents or tokens. It is a process that is widely used to protect credit card information (PCI) and personal health information (PHI), among other data.
With this approach, you are also required to make copies of the data and store it on a disk before the data is tokenized.
However, if the data is tokenized in memory, it ensures that a copy of your data is not backed up to a disk.
By using secure stateful and stateless tokenization algorithms applied with strict user access policies, you can take full control over your data.
Bluemetrix BDM Control
Bluemetrix’s BDM solution is a data processing layer that sits across all cloud environments, thus giving you a single standard processing capability that you can control. It enables autonomous processing, whether on-premises, cloud, multi-cloud, or hybrid cloud.
Also, it gives organisations the ability to decide where to store their data while knowing that they can more easily manage the data across the various environments.
Join our on-demand webinar below, where Bluemetrix experts will explore the benefits of in-memory tokenisation, among other topics.
‘The purpose of the webinar is for attendees to get a really clear idea of the role of data masking and tokenisation when securing data, and then migrating the data to the cloud using a single no-code platform. Ultimately, all organisations what to be in a position to share sensitive data in a transparent, secured, and protected way, while taking full advantage of what the cloud has to offer,’ explains Leonardo Dias, the Principal Architect at Bluemetrix.
For more information, watch the webinar to discover how data architects can leverage the best use of In-Memory Tokenization for cloud migration.