Data Masking in Principle

This is the first of two articles to describe the principles and practicalities of masking data in databases. It explains why an organization sometimes needs masked data, the various forms of masked data we can use, the sort of data that needs to be masked, and the potential pitfalls. Read more

Data Masking in Practice

This article takes a strategic look at common SQL data masking techniques, and the challenges inherent in masking certain types of sensitive and personal data, while ensuring that it still looks like the real data, and retains its referential integrity, and distribution characteristics. It also explains, briefly, with references, the tools that one can use to mask different types of data and how to provision development and test machines with these 'de-sensitized' databases, or alternatively to produce fake data that looks like the real thing, but in fact is generated randomly. Read more

The Database DevOps Challenges SQL Provision Solves

SQL Provision helps to accelerate the delivery of database changes, by enabling an organization to provide database copies, and the right data, to all parts of the deployment pipeline that need it, with a light footprint, and securely. Tony Davis explains how. Read more

Create, protect and manage non-production databases with SQL Provision

SQL Provision allows users to create copies of SQL Server databases in seconds, using a fraction of disk space, and mask any sensitive data to help address data privacy and protection concerns. It serves as a gateway between production and non-production environments, to ensure the safe distribution of database copies from one central location, without blocking the team's development and release processes. Read more

Protecting production data in non-production environments

Grant Fritchey discusses the need to ‘shift left’ the database and associated database testing, while keeping sensitive data secure when it is outside the production environment, and how SQL Provision can help you achieve this. Read more

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