Cloud can offer a range of benefits most notably increased business agility, particularly for analytics applications.
At the same time, moving sensitive data to cloud can raise compliance concerns. According to a new study by Intellyx many executives hold back on moving to cloud due to the fear of setting off policy or compliance boundary conditions and penalties.
Better to fail to try, than to fail to comply
Traditionally, data sits behind enterprise firewalls and is under the protection of group IT. Whilst protecting data internally has its own challenges, the complexity of modern, hybrid cloud environments means that data is in constant movement – certainly between internal and cloud data centres, and even potentially across borders.
The flexibility and changing ephemeral nature of cloud workloads make it much harder to govern how data moves through all of these services. Which people and what services should be authorized to see and control data, and how can we prevent these entities from exposing data in unexpected ways?
One policy, multiple clouds
Ideally, we want to define central data access policies for different kinds of data, that can be applied to cover data moving through all forms of on-premise and multiple cloud platforms.
How much safer would you feel if you were able to easily:
- Define policies in your DEV environments and seamlessly deploy them to your TEST and PROD datasources?
- Define policies for your on-premise data warehouse and deploy the same protection to your cloud data lake?
- Move data from AWS to Azure (or Google) without losing existing access protection?
Modern access management platforms, like Okera, make this possible and, in addition, make it easy to audit and understand who is accessing what.
Download the Intellyx whitepaper, Migrating Sensitive Data Workloads to Public Cloud, to understand how to get the benefit of cloud, without the risk.