Cisco Cisco Email Security Appliance C690 用户指南

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页码 652
11-3
Cisco IronPort AsyncOS 7.5 for Email Configuration Guide
OL-25136-01
Chapter 11      Data Loss Prevention
queue.” AsyncOS also provides the DLP Assessment Wizard to guide you through 
setting up the most popular DLP policies. For more information, see 
The RSA Email DLP scanning engine scans each message, along with its headers 
and attachments, using every classifier in the DLP policies enabled in the 
outgoing mail policy. To scan headers, the Cisco IronPort appliance’s content 
scanning engine prepends the headers to the message body or any MIME parts 
that are content, and the RSA Email DLP scanning engine performs a content 
matching classifier scan. To scan attachments, the content scanning engine 
extracts the attachment for the RSA Email DLP scanning engine to scan. 
After scanning is complete, the RSA Email DLP engine determines if the message 
violated any of the enabled DLP policies. If the violation matches more than one 
DLP policy, the RSA Email DLP engine chooses the first matching DLP policy 
listed in the outgoing mail policy in a top-down fashion. You define the order of 
the DLP policies in the DLP Policy Manager.
The RSA Email DLP engine decides how to handle a message by first calculating 
risk factor score for the DLP violation. The risk factor score represents the 
severity of the DLP violation, ranging from 0 to 100. The RSA Email DLP engine 
compares the risk factor score to the Severity Scale defined for that DLP policy. 
The Severity Scale categorizes the possible DLP violation as one of the following 
severity levels:
Ignore
Low
Medium
High
Critical
The severity level determines which actions, if any, are taken on the message.
You can use the DLP Incidents report to view information on DLP violations 
discovered in outgoing mail. You can also use message tracking to search for 
messages based on the severity of the DLP violation.
For more information on DLP email policies and content matching classifiers, 
see 
For more information on content matching classifiers, see