De-Identifying Analytics Data With Skyflow

De-Identifying Analytics Data With Skyflow

Sensitive data often finds its way into analytical data pipelines where it is rarely needed, adding security and compliance risk. However, blindly purging such data from analytical pipelines risks breaking use cases.

In this paper, you’ll learn how a data privacy vault and tokenization can help you replace sensitive data with placeholders, reducing security and compliance concerns. Due to the data privacy vault’s enormous flexibility, it can be hard to understand how to put it to use in your architecture. This paper provides a detailed overview of several analytical use cases.

Skyflow’s solutions provide governance that helps you ensure that you can securely support the use cases that need access to sensitive data. Moreover, Skyflow’s vault integrations can help your organization achieve zero-touch workflow execution; you can execute workflows on sensitive data without your systems touching it. Read on to learn more!




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