![]() ENCRYPTION BY CERTIFICATE: It should be the same certificate name that we specified earlier.We use CREATE SYMMETRIC KEY statement for it using the following parameters: For column encryption, we use a multi-level approach, and it gives the benefit of the performance of the symmetric key and security of the asymmetric key. It is recommended to use the symmetric key for data encryption since we get excellent performance in it. In the image shared above, we can see the symmetric key on top of the data. The symmetric key uses a single key for encryption and decryption as well. In this step, we will define a symmetric key that you can see in the encryption hierarchy as well. Optionally, we can use ENCRYPTION BY PASSWORD and EXPIRY_DATE parameters in theĬREATE CERTIFICATE however, we will skip it in this article.Ĭonfigure a symmetric key for column level SQL Server encryption Value we defined in the CREATE CERTIFICATE statement Issuer: We do not have a certificate authority certificate therefore, it shows the subject.CertName: It is the certificate name that we defined in the CREATE CERTIFICATE statement.Shows that SQL Server uses the database master key created in the previous step and protects this certificate Encrypt Type: In this column, we get a value ENCRYPTED_BY_MASTER_KEY, and it.In the output, we can note the following fields: Let’s prepare the environment for this article.Ĭreate a new database and create CustomerInfo table In this article, we will explore column level SQL Server encryption using symmetric keys. We have many encryptions available in SQL Server such as Transparent Data Encryption (TDE), Always Encrypted, Static data masking and Dynamic Data Masking. SQL data classification – Add sensitivity classification in SQL Server 2019. For example, we might have customer DOB in a column and depending upon the requirement, and we should classify it as confidential, highly confidential. It is a crucial aspect in classifying the data based on the information type and sensitivity. We can use these encryptions and protect the data. Therefore, SQL Server provides encryption solutions. We still have a chance that these authorized persons can also misuse the data To achieve this, we start by providing access to relevant persons. Our main goal is to protect unauthorized access to data within and outside the organization. This article gives an overview of column level SQL Server encryption using examples.ĭata security is a critical task for any organization, especially if you store customer personal data such asĬustomer contact number, email address, social security number, bank and credit card numbers. ![]()
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