Trainable classifier auto-labeling with sensitivity labels webinar

This post has been republished via RSS; it originally appeared at: Security, Privacy and Compliance Blog articles.

This classification method is particularly well suited to content that isn't easily identified by either the manual or automated pattern matching methods. This method of classification is more about training a classifier to identify an item based on what the item is, not by elements that are in the item (pattern matching). A classifier learns how to identify a type of content by looking at hundreds of examples of the content you're interested in classifying

 

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References:

This webinar was presented on Tue Mar 17th 2020, and the recording can be found here.

 

Attached to this post are:

  1. The FAQ document that summarizes the questions and answers that came up over the course of both Webinars; and
  2. A PDF copy of the presentation.

Thanks to those of you who participated during the two sessions and if you haven’t already, don’t forget to check out our resources available on the Tech Community.

 

Thanks!

@Adam Bell  on behalf of the MIP and Compliance CXE team

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