Create a Custom Data Pattern on Cloud Management
Create an
Enterprise data loss prevention (DLP)
custom data pattern for Prisma Access
(Cloud Management)
and SaaS
Security on Cloud Management
.Create an
Enterprise data loss prevention (DLP)
custom data pattern for Prisma Access
(Cloud Management)
and SaaS Security
on Cloud Management
using regular expressions. Create data patterns to specify the
match criteria and identify patterns using regular expressions and keywords that
represent sensitive information on your network. All data patterns you create are
shared across all Prisma Access
(Cloud Management)
and SaaS Security deployments associated with
the tenant. After you successfully create a custom data pattern, it’s automatically
synchronized to the DLP app on the hub. All custom data patterns created on Cloud Management
can be edited and copied as needed.- Select .
- Add Data Patternsand selectCustom.You can also create a new custom data pattern by copying an existing custom data pattern. To copy a custom data pattern, select the data pattern name to view the data pattern details and copy (
). You can then
configure the custom data pattern you copied as needed. - Enter a descriptiveData Pattern Name.
- (Optional) Enter aDescriptionfor the data pattern.
- Select the type ofRegular Expression.You can chooseBasicorWeighteddata patterns. Use theWeighteddata 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 DLPwill indicate that the asset is a match for the pattern.Then use the query builder in theRegular Expressionsfield to add either regular (Basic) orWeightedexpressions.
- (Optional) Enter one or moreProximity Keywords.Proximity keywords aren’t case-sensitive. You can enter one or more proximity keywords to increase the probabilityEnterprise DLPaccurately detects a regular expression match. Proximity keywords impact theEnterprise DLPconfidence level, which reflects how confidentEnterprise DLPis when detecting matched traffic.Enterprise DLPdetermines confidence level by inspecting the distance of regular expressions to proximity keywords.
- Savethe data pattern.
