Sensitive Data Discovery: Expert Steps And Best Practices
Apart from the risk of data breaches, an expanding regulatory environment necessitates thorough processes for recognizing, categorizing and safeguarding sensitive data.
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Apart from the risk of data breaches, an expanding regulatory environment necessitates thorough processes for recognizing, categorizing and safeguarding sensitive data.
This post is the first in the series “AI for Data, Data for AI,” where we will share highlights of activities related to AI around development data. Here, we introduce an overview of five topics we actively explore and leverage AI to improve development data: from metadata augmentation to synthetic data.
The data discovery process is an essential first step that informs companies about what kind of data they have stored on their servers and how sensitive it is.
/PRNewswire/ -- The EY organization today announces a global alliance with Reveal Data Corporation, a global provider of leading artificial intelligence...
First DSPM Patent: The need for effective cybersecurity solutions is always increasing. Enterprises are migrating their data to multicloud environments....