Masking sensitive data with DataMasque and Cohesity

DataMasque collaborates with Cohesity, securing data compliance without sacrificing utility or innovation.

How to protect data privacy without sacrificing data utility

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.

What is data masking?

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.

Virsae uses DataMasque on Microsoft Azure to improve customer experience

DataMasque gives Virsae a simple way to replace sensitive data with realistic alternatives. This allows Virsae the freedom to engineer with ‘synthetic’ customer data, without putting real customer information at risk.

Best Western Uses DataMasque on AWS to Stop Data Breaches

Best Western employs DataMasque on AWS, shielding data, averting breaches, and automating key protection processes.

The Dynamic Duo: DataMasque and DynamoDB

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

More realistic fake data with DataMasque's Deterministic Masking

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

File Masking with DataMasque 2.9

Introducing file masking in DataMasque 2.9.

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