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Swift and Massive Data Classification Advances Scores a Win for Better Securing PCs at the Edge

Swift and Massive Data Classification Advances Scores a Win for Better Securing PCs at the Edge
Nov 7, 2016 · 22m 11s

The next BriefingsDirect Voice of the Customer digital transformation case study explores how -- in an era when cybersecurity attacks are on the rise and enterprises and governments are increasingly...

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The next BriefingsDirect Voice of the Customer digital transformation case study explores how -- in an era when cybersecurity attacks are on the rise and enterprises and governments are increasingly vulnerable -- new data intelligence capabilities are being brought to the edge to provide better data loss prevention (DLP).

Hear how Digital Guardian in Waltham, Massachusetts analyzes both structured and unstructured data to predict and prevent loss of data and intellectual property (IP) with increased accuracy.

To learn how data recognition technology supports network and endpoint forensic insights for enhanced security and control, we're joined by Marcus Brown, Vice President of Corporate Business Development for Digital Guardian. The discussion is moderated by BriefingsDirect's Dana Gardner, Principal Analyst at Interarbor Solutions. [Sponsor: Hewlett Packard Enterprise.]
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Author Dana Gardner
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