There is no doubt that shared data is data at risk, with multiple points in the data lifecycle when it needs enhanced protection.
Shared data has become the norm across all sectors, but as more and more sensitive data is shared across ever-larger data lakes, individuals and organisations alike are losing control of who can access that data, and how it is stored and used.
In recent years, the data lake architecture has become a de facto standard within almost every organisation, with the goal of consolidating data from siloed applications and through this consolidation onto a single platform, to drive data insights. Individuals are contributing data to the repositories and sharing data out again. In this dynamic environment, there is always the risk that control will be lost.
While most organisations take cyber security and compliance seriously, they do appear to be lagging in terms of solid data protection. In order to protect any data that has been shared, an important first step is to understand what sensitive data resides where. This can be achieved by utilising a data catalogue, as it has the ability to categorise data into domains such as PII, PCI, or non-sensitive.
However, data protection measures should be applied in a manner that does not hinder data sharing, since the ability to share is a critical requirement in all organisations. These measures should be deployed unobtrusively at the application layer, where most of the access occurs.
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