Enterprises today squeeze the most value out of their data as possible--without compromising security or privacy. To help our customers achieve this mandate, we announced a partnership with Snowflake, the cloud data platform. Through this powerful new integration, customers can now deploy Protegrity's data de-identification technology to protect any data housed in Snowflake's managed cloud data warehouse. To better reveal the power and possibilities offered by this association, we have developed a free Trial Experience of the Protegrity for Snowflake solution. This guided tour provides hands-on experience working with protected, de-identified data for analytics. For participants, we offer step-by-step instructions for configuring the test environment, along with a sample data set that has already been de-identified. We'll also supply a deeper dive into the functionality of the solution with examples of how to manage data-protection policies for the Snowflake platform.
Digital transformation efforts today are on the fast track. Accelerated by economic uncertainty, data and analytics professionals are increasingly asked to do more with data than ever before. However, they must find a way to use this data responsibly, in ways that adhere to strict privacy laws and regulations.
There are a number of impressive solutions on the market today--such as Snowflake's cloud data platform--that are helping businesses accelerate their data projects in the cloud. Analytics experts understand the massive potential of Snowflake for accelerated data-driven transformation. However, the security and privacy needs of the businesses can often become a barrier, preventing these professionals from unlocking the value of data-warehousing technology.
Protegrity for Snowflake combines the latter's superior data-warehouse capabilities with the ability to extend internal data-security policies to keep sensitive data private. Together, Protegrity and Snowflake allow businesses to accelerate the democratization of data to drive innovation while ensuring sensitive data is protected wherever it resides.
Securing customer data is easier said than done, and many solutions on the market are slow and cumbersome, resulting in significant delays to data initiatives. Worse yet, some solutions fail to provide adequate protection for sensitive data. This begs the question: How can data and analytics leaders maintain the pace of innovation without compromising security?
Although some data-security technologies, such as data masking, can be somewhat effective on their own, they are not foolproof and do not meet the regulatory compliance needs of most enterprises. Protegrity provides a deeper layer of protection with sophisticated tokenization, replacing individual data elements (such as a consumer's name or social security number) with a token. This process de-identifies personally identifiable information (PII) to protect it in a data store while maintaining its use for analytics and other applications.
Protegrity for Snowflake provides the control businesses need to protect data in the cloud beyond encryption and masking. With Protegrity's format-preserving data protection, data and analytics professionals can perform analytics directly on de-identified data--without having to unprotect or "re-identify" that data.
Together with Snowflake, we are helping businesses focus on innovation so they can stop worrying about the management and security of their cloud environments. To see the Protegrity for Snowflake solution in action, sign up for the free Trial Experience.