Create a Classification using Proximity

You can identify sensitive data with text patterns using advanced patterns, dictionaries, and keywords in a classification. Use a proximity match in your classification to define how many characters can separate items in advanced patterns, dictionaries, and keywords and still trigger a match. If two items are found within the selected number of characters, it's a match. 

To create a classification using proximity:

1. Go to Policy > DLP Policies > Classifications. 
2. Click Actions > Create Classification. 
3. Classification Name. Enter a name for this classification. For example, My new classification. Enter an optional description to describe its use or purpose.
4. Category. Select a Category from the list. 
5. Conditions. For IF, for this example, select Proximity.
   
6. Define your proximity classification criteria:
   
   • Proximity is less than <number> characters. Enter a number to specify how close the values must appear. The number can be between 1 to 99,999.
     Example: If you enter 20, the two values must appear within 20 characters of each other in order to trigger the classification criteria.
   • between: Select Criteria. Select two values to specify proximity for. The values can be a dictionary, an advanced pattern, or a keyword. Select one of the following:
     • Dictionary. Select from: 
       • is any of. To match any of the items. 
       • Then select one or more Dictionaries from the side panel. (To close the side panel, click X.)
         
     • Advanced Pattern. Select from:
       • is any of. To match any of the items.
       • Then select one or more Advanced Patterns from the side panel. The Regular Expressions are displayed in the second side panel.  (To close the side panel, click X.)
         
         
     • Keyword. Enter your keywords separated by commas without a space. 
       
   • and. The values again can be a dictionary, an advanced pattern, or a keyword.
   • and found at least <number> times. This is the match count. Enter a number to specify how many times the values must appear in proximity to each other to trigger the classification criteria. The number can be between 1 and 99. 
7. Click Save.