Four Keys to Data-Centric Data Protection

Data protection solutions such a firewall, network data loss prevention (DLP), endpoint DLP, information rights management IRM, classification, file encryption and others have tried to solve the growing data protection needs of organizations of all sizes.

2017 was a record year for the number of data breaches in the United States at 1,579, which represents a 44% increase from the previous year. Over six million records are lost or stolen every day.

Legacy data protection solutions are not doing enough to protect organizations from data breaches. The answer to every organization’s problem has been sitting right in front of it the entire time: the data itself. Organizations need to move to new data-centric data loss prevention solutions on the market.

A data-centric approach to data security is focused on the information that needs protection instead of the network, device or application. Legacy network, device or application-based solutions only protect information during a portion of the data’s life cycle.

Additionally, legacy data protection solutions have followed the discover, classify and protection mindset, in which organizations protect only a subset of data. This mindset became the norm because legacy protection solutions were so manual and cumbersome that organizations just wanted to apply protection to the smallest amount of data possible. With data-centric solutions, discovery and classification are not required. All data can be protected by default, eliminating the need for users to apply for protection manually.

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