Before deploying CA DataMinder in a production environment, you will need to refine your user policies to ensure that they work you want them to and to minimize the number of false positives (that is, occasions when a file or email caused a trigger to fire needlessly).
Typically, you refine your policies in a lab using a pool of test data (emails and files) that you repeatedly import into CA DataMinder while applying policy. After each import operation is complete, you compare the trigger rate with that of the previous operation (did triggers fire more frequently or less frequently?) and refine your policies as necessary. Over several sessions, you are able to assess the effectiveness of any policy changes.
We recommend that your lab setup includes an endpoint agent to allow interactive, real-time testing. For example, if your policies use long, complex keystrings to detect key words or phrases, it can be extremely useful to run real-time tests to iteratively verify the proper performance of these policy settings.
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