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--- contentdiscovery [2018_09_22 00:34] – [Content Discovery] steven
+++ contentdiscovery [2020_03_12 11:50] – [Detecting Content] jim
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-# Content Discovery
+# Content Discovery and DLP
-The Content Discovery feature allows files to be tagged based on text that they contain. Whether for compliance or competitive reasons, organisations often need to identify documents of special interest.
+The File Fabric Content Discovery feature enables files to be discovered based on text that they contain. Actions can be set on what happens to such data once it is discovered and flag it to a nominated person so that an appropriate action or process can be taken. This prevents Data Loss or Compliance breach exposure (Data Loss Prevention).
+Data stored and uploaded is scanned for data stored in files, based on pre-selected templates, in real-time.
+Whether for DLP, compliance or competitive reasons, companies often have a need to identify documents of special interest ie.
  * Which documents contain personal data restricted under GDPR?
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  * Which files contain the name "Ernie Madoff"?
-Content rules can also be used with [[automationrules]] that react to content discovery events by taking actions such as sending an email or moving a file.
+Content rules can also be used with [[automationrules]] that react to content discovery events by taking actions such as sending an email, moving a file etc.
 Applies to:
@@ Line 24: / Line 28: @@
 ### Detecting Content
-Content Discovery works by looking for content of interest after files are indexed by the search engine. This happens when files are added or updated, and when storage providers are added or synchronised.  A set of content detectors is used to look for different kinds of information.  (We refer to data identified by a content detector as “matching content”.)
+Content Discovery works by looking for content of interest after files are indexed by Content Search. This happens when files are added or updated, and when storage providers are added or synchronised (if Content Search is active for the provider).  A set of content detectors is used to look for different kinds of information.  (We refer to data identified by a content detector as “matching content”.)
 Our example company operating within the GDPR might have a detector for UK NHS numbers and a detector for Spanish NIF numbers, among others. Our example sales organization company might have detectors for a specific set of SKUs