Database Administration & Security

Data Masking for MongoDB is the data masking tool in Studio 3T Enterprise that lets you obfuscate collections on a field level.

Secure your data with Read-Only Mode, which can be set for a specific collection or an entire connection.

Avoid mixing up test and production data by color-coding your databases and collections.

Add, edit, and remove MongoDB users and grant roles in just a few clicks.

Create new roles, edit existing ones, and grant built-in and user-defined roles easily.

Read Part 1 of our MongoDB Users and Roles Explained series to learn about the basics of MongoDB authentication, authorization, and user and role management.

Part 2 of our MongoDB Users & Roles Explained series walks you through how to enable access control on a three data-bearing node replica set, create the first user making use of the localhost exception, and grant the needed MongoDB roles.

Learn how to set up a user administrator and enable user authentication on your MongoDB server.

Learn about LDAP and Kerberos, the two authentication methods supported by the MongoDB Enterprise server.

Security in MongoDB starts with ticking the boxes across key categories, which include monitoring, auditing, and authentication.

Studio 3T 2020.5 now offers the option to use your own cryptographic key store when storing and encrypting connection passwords in the Connection Manager.

The recent Meow attacks are yet another reminder that we need to properly secure our databases. Meow-proof your MongoDB (or MongoDB Atlas) instance today by taking these five easy steps.

Data Masking. Data Obfuscation. Learn what these terms mean and the best practices to follow when making sensitive data, anonymous.

Database testing is one of the most challenging aspects of database development. Here we look at four types: UAT, regression, integration, and unit testing.

Data masking must be part of the developer's toolkit when dealing with data. In this article, we cover techniques you can use to protect sensitive data in MongoDB.