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 ...

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

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 ...

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 ...

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 ...

For some data sets and masking techniques, the neural network success rates exceeded 80 percent and even 90 percent. In the case of mosaicing, the more intensely pixelated images were, the lower ...

Here are two more in the works to think about: dynamic data masking and row-level security. In the case of these two features, they’ll be released first to the cloud platform (Azure SQL Database) and, ...