On
May 7, 2025,
Palo Alto Networks is introducing new
Evidence Storage and
Syslog Forwarding service IP
addresses to improve performance and expand availability for these services
globally.
| Where Can I Use This? | What Do I Need? |
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Or any of the following licenses that include the Enterprise DLP license
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The regular expression builder in Enterprise Data Loss Prevention (E-DLP) provides an easy mechanism
to configure regular expressions (regex for short), which you define when you create
a custom data pattern. You can use the regular expression builder to construct a
data pattern expression, view matches, filter occurrences and weight thresholds, and
assess match results to determine if the content poses a risk to your
organization.
There are two types of regular expressions:
Basic—Searches for a specific text pattern. When Enterprise DLP
displays the match occurrences when inspected traffic matches the data
pattern match criteria.
Weighted—Assigns a score to a text entry. When the score threshold is
exceeded, such as enough expressions from a pattern match an asset, the
service returns a match for the pattern.
To reduce false-positives and maximize the search performance of your regular
expressions, you can assign scores using the weighted regular expression
builder in Enterprise DLP to find and calculate scores for the
information that’s important to you. Scoring applies to a match threshold,
and when a threshold is exceeded, such as enough words from a pattern are
found in a document, the document will be indicated as a match for the
pattern.
Use Case: Calculating and Scoring a weighted regular expression
For example, Joe is an employee at a water treatment plant and needs to compile user
data on a proprietary pH additive that is used when source water arrives at the
plant. If Joe initiated a regular expression search with just the term
tap water thousands of match results display, as the
matched tap water documents list the additive. However, Joe is searching for the
first use of the additive and not every document the additive is listed in, making
it difficult for Joe to find the usage data he needs.
To get more accurate results, Joe can initiate a weighted regular expression to
assign weight and occurrence scores to the expression, or indicate the information
to exclude by assigning a negative weight value.
Joe enters a negative weight value to exclude tap water and higher values to source
water and the proprietary water additive. The results are filtered and counted to a
more manageable list, meaning that a document containing 10 occurrences of water
counts as one when all files and folders are scanned. This enables Joe to view the
match results, adjust the totals for weight and occurrences, and calculate an
adjusted score to determine if the content poses a risk to his organization.
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Weighted Regex Item
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Occurrence
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Adjusted Occurrence Score
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Adjusted Total
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Water; 1
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50
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50 (1 Occurrence X 1)
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110 minus 100 for tap water = 10 regex weight
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IP pH; 2
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30
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60 (30 occurrences X 2)
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Tap Water; -10
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10
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-100 (10 occurrences x -10)
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