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The EU GDPR requires covered organizations to be able to account for and document how personal data is collected, processed and shared. What many companies often fail to realize is that this data is not only stored in specialized and appropriately secured silos such as databases. In fact, the vast majority of their business information is in unstructured and semi-structured formats, distributed across multiple systems an services. Without consistent visibility into whose data is processed across these environments, organizations cannot adequately account for how personal data is processed - as well as lose the context they need to identify security and compliance issues such as excessive privileges. To both address the compliance need for accountability and the security need for visibility, a new approach to data understanding is needed.
The EU GDPR requires covered organizations to be able to account for and document how personal data is collected, processed and shared. What many companies often fail to realize is that this data is not only stored in specialized and appropriately secured silos such as databases. In fact, the vast majority of their business information is in unstructured and semi-structured formats, distributed across multiple systems an services. Without consistent visibility into whose data is processed across these environments, organizations cannot adequately account for how personal data is processed - as well as lose the context they need to identify security and compliance issues such as excessive privileges. To both address the compliance need for accountability and the security need for visibility, a new approach to data understanding is needed.
