In this webinar, Axiomatics experts reveal how to use dynamic authorization to secure the content of data stores.
Data on its own, in its own silo, has little value. Once collected, centralized, mined, and analyzed, it can reveal many insights about businesses, customers, trends, etc.; but to do so, access needs to be allowed to many different types of stakeholders to help analyze the data. At the same time, we need to make sure only the right data is stored under the right circumstances, and that it is only shared with entitled users at the right time and for the right purpose.
Legacy techniques to provide access to data are rudimentary in the sense that they force you to make static copies of data that is then redacted and masked during the copy process. This is both a slow, expensive, and error-prone process. In this webinar, we will look at Axiomatics’ policy-driven approach to dynamic data filtering and masking and how it can be applied to relational and big data alike, whether on-premise or in the cloud.
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