Cisco Cisco Email Security Appliance C160 Mode D'Emploi
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Cisco IronPort AsyncOS 7.5 for Email Configuration Guide
OL-25136-01
Chapter 11 Data Loss Prevention
to a step to make a change, you must proceed through the remaining steps until
you reach this review page again. All settings you previously entered will be
remembered.
you reach this review page again. All settings you previously entered will be
remembered.
Figure 11-9
DLP Assessment Wizard: Step 3. Review
Once you are satisfied with the information displayed click Finish. AsyncOS
displays the Outgoing Mail Policies page with your DLP policies enabled in the
default outgoing mail policy. A summary of your DLP policy configuration is
displayed at the top of the page. Commit your changes.
displays the Outgoing Mail Policies page with your DLP policies enabled in the
default outgoing mail policy. A summary of your DLP policy configuration is
displayed at the top of the page. Commit your changes.
For information on editing the DLP policies and creating additional ones, see
. For information on enabling the DLP policies for
other outgoing mail policies, see
Content Matching Classifiers
Content matching classifiers are the detection components of the RSA Email DLP
scanning engine. They search messages, message headers, and the content of
extracted attachments for data patterns, such as credit card numbers or driver
license identification numbers, and the context in which the patterns appear. For
example, a classifier for detecting credit card numbers scans for not only patterns
of numbers that match the credit card number format, but supporting data like
expiration dates and the name of credit card company. Evaluating the context of
the data decreases the number of false positives.
scanning engine. They search messages, message headers, and the content of
extracted attachments for data patterns, such as credit card numbers or driver
license identification numbers, and the context in which the patterns appear. For
example, a classifier for detecting credit card numbers scans for not only patterns
of numbers that match the credit card number format, but supporting data like
expiration dates and the name of credit card company. Evaluating the context of
the data decreases the number of false positives.
Many of the policy templates from RSA include a predefined set of classifiers.
When creating a policy based on the Custom Policy template, you can choose an
RSA classifier or add one of your own. For information on creating your own
classifier to use in custom DLP policies, see
When creating a policy based on the Custom Policy template, you can choose an
RSA classifier or add one of your own. For information on creating your own
classifier to use in custom DLP policies, see