Data-driven organizations invest in stringent data security solutions to protect data in storage and
business use. It allows them to stay compliant with data security regulations and minimize the
risks of a data breach, which costs businesses an average of 4.35 million dollars in 2022.

However, sometimes organizations need data for less secure operations, such as training or
testing, which puts it at risk. The risk is compounded if these operations are outsourced to a third
party as the organization has less control over data security and usage.

What is Data Masking?

That is where data masking comes in. It creates a functional substitute for the sensitive data an
organization needs to use in less secure occasions and operations. The sensitive information is
altered or obfuscated, but the data maintains a similar structure and characteristics to make it
usable for testing and training.

Learn More

While data masking is an essential practice to keep information secure and private, it can sometimes be a challenge for businesses and software teams to implement. Read the white paper below to discover effective ways to solve common data masking challenges.