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How to Protect Data on Snowflake with comforte Data Security Platform

Snowflake is one of the leading data warehousing solutions available today; its high performant and cloud-based design has been enabling thousands of customers around the world to create value out of their datasets. However, the risk of data breaches, strict security requirements, and regulations pose growing limitations and concerns to firms wanting to work with valuable information in cloud environments.

Comforte empowers organizations to identify, classify, and protect sensitive data throughout their whole architecture. Modern data analytics solutions often involve technologies deployed on different cloud providers and on-prem. Our easy-to use, resilient, and scalable platform can flexibly implement data policies on different environments and tools. The comforte Data Security Platform’s tokenization engine offers different and customizable options including anonymization, pseudonymization, and format-preserving encryption. Tokenization is part of a data-centric protection strategy which significantly reduces the burdens of security and compliance by protecting the data itself rather than focusing exclusively on the applications’ perimeters.

intercept and secure live data

granular authorized access

Snowflake can easily be set up to leverage external functions and invoke the comforte Data Security Platform through an API Gateway service. This method enables authorized users to easily tokenize and detokenize columns from Snowflake itself through a UDF. Snowflake supports the creation of external functions using the main cloud services providers, including Amazon AWS, Microsoft Azure and Google GCP.


*** This is a Security Bloggers Network syndicated blog from comforte Blog authored by Giovanni Battista Spinelli Barrile. Read the original post at: https://insights.comforte.com/how-to-protect-data-on-snowflake