How To Manage Sensitive Data Using SQL Data Discovery and Classification

How To Manage Sensitive Data Using SQL Data Discovery and Classification

Since then, the Data Discovery and Classification feature has become a difference-maker in the protection of sensitive information.

The 17.5 version of SQL Server Management Studio (SSMS) brought with it a new built-in security tool. Since then, the Data Discovery and Classification feature has become a difference-maker in the protection of sensitive information.

Equipped with a set of advanced services, it allows us to discover, classify, and label sensitive data in the database and serves as an infrastructure for meeting regulatory compliance requirements (such as GDPR, HIPPA, PCI, etc.). In this article, we are going to review the main functionality of the SQL Server data classification tool and see an easy and quick solution to sensitive data management in SQL Complete from Devart.

To begin with, sensitive information refers to personal, organizational, or any type of confidential data that requires a higher level of protection. The vast majority of people have their personal information spread over a variety of organizations and industries, including:

  • Protected health information (PHI), such as medical records, payment history for healthcare services, insurance information.
  • Educational information, such as enrollment records and transcripts.
  • Financial information, such as credit card numbers, banking information, tax forms, and credit reports.

As one would expect, exposure of sensitive data can potentially cause financial or personal harm and entail negative consequences. Therefore, with large amounts of sensitive data being produced and exchanged every moment, it’s imperative that businesses take proper measures to protect highly sensitive data.

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