The original data's format and usefulness are maintained. This guide covers all you need to know about advanced masking techniques. We'll discuss the types of available, essential methods like ...

Can you use open-source tools to mask sensitive production data for use in testing and development? We explore the available options and weigh the pros and cons of relying on DIY data masking ...

For example, in medical data, HIPAA compliance proposes a list of 18 identifiers that need to be removed to qualify for safe harbor compliance. There is no shortage of masking techniques ...

Data masking techniques have been around for decades to anonymise PII (personally identifiable information). Standard techniques, such as regular expressions, are employed when patterns are well ...

Data masking is the process of de-identifying ... and eliminates the common practice of having DBAs create masking techniques and algorithms. The tool preserves relational integrity between ...

Since many organizations rely on pro­duction data as a source for test data, techniques are needed to mask sensitive data elements from unauthorized ... but without using and therefore exposing the ...

preparing in advance using data masking techniques allows developers to focus on building applications rather than worrying about security,” he said. MongoDB is known for being fast to set up ...

The goal is to protect sensitive data while providing a functional substitute. Data masking techniques can include substituting portions of datasets, reorganizing the data, scrambling the data ...