Data Masking Insights

What is Data Masking?

Data masking, also known as data obfuscation or data anonymization, is a technique used to hide sensitive data by replacing it with modified or fabricated data. This ensures that the data is protected while still allowing users or applications to work with a functional substitute. It is commonly used in non-production environments like development, testing, and training to protect sensitive information such as personally identifiable information (PII), financial data, and healthcare records.

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What other technologies are related to Data Masking?

Data Masking Competitor Technologies

data redaction

Data redaction is a method similar to data masking which involves removing specific data elements, effectively competing with masking techniques for certain use cases.

mentioned alongside Data Masking in 83% (94) of relevant job posts

Data Anonymization

Data anonymization is an alternative technique to data masking. It modifies data in a way that it cannot be re-identified, similar to some data masking methods.

mentioned alongside Data Masking in 30% (73) of relevant job posts

Tokenization

Tokenization replaces sensitive data with non-sensitive tokens. It serves a similar purpose to data masking by protecting sensitive information, thus competing with it.

mentioned alongside Data Masking in 5% (102) of relevant job posts

encryption

Encryption transforms data into an unreadable format, which is an alternative to data masking.

mentioned alongside Data Masking in 1% (278) of relevant job posts

data encryption

Data encryption protects data confidentiality, which is an alternative to data masking.

mentioned alongside Data Masking in 3% (109) of relevant job posts

TDE

Transparent Data Encryption (TDE) encrypts entire databases. It provides data protection like data masking, thus competing.

mentioned alongside Data Masking in 5% (55) of relevant job posts

Data Masking Complementary Technologies

Data Discovery

Data discovery tools are helpful for identifying sensitive data that needs to be masked, making it a complementary technology.

mentioned alongside Data Masking in 18% (147) of relevant job posts

Data Classification

Data classification helps categorize data based on sensitivity, determining which data requires masking. This is complementary.

mentioned alongside Data Masking in 8% (98) of relevant job posts

DLP

Data Loss Prevention (DLP) systems can use data masking techniques to prevent sensitive data from leaving the organization. Therefore, data masking is one tool that complements DLP.

mentioned alongside Data Masking in 1% (144) of relevant job posts