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SVP for Cyber Security Products at Thales.
What are some of the common business challenges when it comes to data sovereignty?
These impact how companies store and process data globally, and can often create conflicting legal obligations and complexities.
Challenges also arise around data sovereignty efforts due to the need to classify data by sensitivity.
Businesses need tools that can help them continuously monitor, protect and classify data by risk as contexts change.
How do organizations operationalize data sovereignty?
Typically organizations start by classifying their data.
There are broadly three types of key management strategies.
How does encryption tie into data sovereignty needs?
Fundamentally, encryption asserts control over who can access data meaning data sovereignty cant exist without it.
In many legal jurisdictions, its also a compliance requirement to be actively using it.
Butencryptionis only as good as the key management in place allows it to be.
The key management infrastructure is essential in ensuring proper control over the encryption mechanism.
What other measures should businesses be considering to protect their data?
Alongside encryption, strictaccess controland security policies are essential to limit the risk and impact of data breaches.
What role might quantum computing have on the future of data sovereignty?
How could next-generation mobile connectivity like 5G and 6G impact data sovereignty measures?
But as these data pipe capabilities expand, so do the complexities of managing privacy and data sovereignty.
What is AIs possible impact on data sovereignty?
What and where the underlying data that AI is drawing on comes from is the main concern here.
Emphasis should be placed on the importance of protecting the personal data that is used to train AI.
We’ve listed the best data migration tool.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
