Cisco Cisco Email Security Appliance C170 Guia Do Utilizador

Página de 1210
 
17-15
Cisco AsyncOS 9.0 for Email User Guide
 
Chapter 17      Data Loss Prevention
  DLP Policies for RSA Email DLP
Related Topics 
Classifier Detection Rules for Identifying Sensitive Content (Custom DLP Policies Only) 
Content matching classifiers require rules for detecting DLP violations in a message or document. 
Classifiers can use one or more of the following detection rules: 
Words or Phrases. A list of words and phrases for which the classifier should look. Separate 
multiple entries with a comma or line break.
Regular Expression. A regular expression to define a search pattern for a message or attachment. 
You can also define a pattern to exclude from matching to prevent false positives. See 
 and 
 for more information.
Dictionary. A dictionary of related words and phrases. Your appliance includes dictionaries created 
by RSA, or you can create your own. See 
.
Entity. A predefined pattern that identifies common types of sensitive data, such as credit card 
numbers, addresses, social security numbers, or ABA routing numbers. For descriptions of the 
entities, go to Mail Policies > DLP Policy Manager, click Add DLP Policy, click Privacy 
Protection
, then click Display Policy Descriptions
Regular Expressions for Identifying Identification Numbers 
Some policy templates require customization of one or more content matching classifiers, which 
involves creating a regular expression to search for identification numbers that may be linked to 
confidential information, such as a custom account number, patient identification number or Student ID. 
The style of regular expressions used for content matching classifiers is the POSIX Basic Regular 
Expression 
style regular expressions. 
Note
Regular expressions are case sensitive, so they should include upper and lower case, such as 
[a-zA-Z]
If only certain letters are used, you can define the regular expression accordingly.
The less specific the pattern, such as an 8-digit number, the more likely you will want the policy to search 
for additional words and phrases to distinguish a random 8-digit number from an actual customer 
number. 
Use the following table as a guide for creating regular expressions for classifiers: