All data encryption is created equal Three types of database encryption are typically considered: column-level, tablespace or database level, and file-level.

Database encryption protects sensitive information by scrambling the data when it's stored, or as it has become popular to say, "is at rest." ...

Data encryption performs two purposes: it protects data against internal prying eyes, and it protects data against external threats (hacking, theft of backup tapes, etc.) Encryption in the database ...

That’s where column-level encryption pays off to provide end-to-end encryption. With TDE, each data page is encrypted when written to disk and is decrypted when read from disk.

So I propose a regulation that any company or government agency with a database containing more than 10,000 names be required to encrypt all stored data. If that’s inconvenient, boo-hoo.

Google recently released new features for its SaaS data warehouse BigQuery which include column level encryption functions and dynamic masking of information. Specifically, dynamic masking of ...

However, if data is randomly encrypted—where the same inputs do not result in the same outputs, then it’s difficult to perform searches on the encrypted data since the driver cannot predict the ...

MongoDB 4.2's implementation of Field Level Encryption is a different and more comprehensive approach than column encryption used in legacy, relational databases.