DataSunrise Masking for Google Cloud BigQuery

DataSunrise masking for Google Cloud BigQuery is designed to protect sensitive data in the production database by obfuscating the real data for non-privileged users. Obfuscated data can still be used for work because it looks realistically. Thanks to it, third parties can use the sensitive data for their work without any risks. Moreover, confidential and regulated data is prevented from leaving the database.

The Data Masking tool for Google BigQuery obfuscates or randomizes sensitive data and makes it useless while keeping it looking realistic. This is useful when you need to share sensitive data with third parties or non-privileged employees. This way people still can use data for their work without the risk of compromising its confidentiality and privacy.

Data obfuscation can be useful method when you need to minimize confidential information exposure to unauthorized employees or third parties: testers, analysts, developers, etc.

DataSunrise for Google Cloud BigQuery: Static and Dynamic Data Masking

Dynamic Masking is performed at the moment of query, so there is no need to create a stand-alone copy of the real database as for Static Masking. Data will be masked according to the created rules. Remember that masked data is not reversible. It means that there is no possibility to retrieve real data from the masked values. This is a guarantee that sensitive data will be not exposed or compromised.

Data Masking for BigQuery is another step in building a reliable security system with DataSunrise.