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As data breach and cyberattack threats continue to grow, data privacy has become a serious concern for organisations. This has created a tension between the need for data utility and the importance of data privacy.

Data is a highly valuable currency for businesses and cybercriminals alike, and protecting it is a non-negotiable. Data masking involves altering or obfuscating sensitive data so it becomes unidentifiable while still maintaining functional integrity.

DataMasque version 2.11 adds support for DynamoDB, along with a raft of other improvements.

DataMasque can use deterministic masking to securely generate consistent data across data stores, which gives more realistic masked data.

Introducing file masking in DataMasque 2.9.