Regular
Expression—Create regular expressions to use in the
data pattern.
You can choose
Basic or
Advanced data patterns. Use
the
Advanced data pattern to create a
basic or weighted regular
expression. With weighted regular expressions, each text
entry is assigned a score and when the score threshold is exceeded,
such as when enough expressions from a pattern match an asset,
Enterprise DLP will indicate that the asset is a match for the
pattern.
Then use the query
builder in the Regular Expressions field
to add either regular (Basic) or weighted
(Advanced) expressions.
You can enter one or more Proximity Keywords to use with the data
filtering pattern. Proximity keywords aren’t case-sensitive. You can
enter one or more proximity keywords to increase the probability Enterprise DLP accurately detects a regular expression match.
Proximity keywords impact the Enterprise DLP confidence level,
which reflects how confident Enterprise DLP is when detecting
matched traffic. Enterprise DLP determines confidence level by
inspecting the distance of regular expressions to proximity
keywords.
Data patterns that don't include any proximity keywords to
identify a match always have both Low and High confidence level
detections in a
DLP
incident.
File Property—Add a file property
pattern on which to match.
For data governance and protection
of information, if you use classification labels or embed tags in
MS Office and PDF documents to include more information for audit
and tracking purposes, you can create a file property data pattern
to match on the metadata or attributes that are part of the custom
or extended properties in the file. Regardless whether you use an
automated classification mechanism, such as Titus, or whether require
users to add a tag, you can specify a name-value pair on which to
match on a custom or extended property embedded in the file.
Enterprise DLP supports file property data patterns in MS Office and PDF documents and
supports both the OLE (.doc/.ppt) and XML (.docx/.pptx) formats of
MS Office.
Then add a Tag Name and Tag
Value.
A Tag Name and Tag Value are an associated pair
that specifies the property for which you want to look (for example,
you can specify a Tag Name of
Label and a Tag
Value of Confidential). You
can add as many file properties as you’d like and when you later
reference the file property data pattern in a data filtering
profile, Enterprise DLP will use a boolean OR match in the
match criteria.
For files protected with
Microsoft Azure Information
Protection (AIP), you must enter the full AIP label
Name that you want to take
action on. This can be either the
MSIP_Label_<GUID>_Enabled
label name or the
Sensitivity label
name.