Supported Enterprise Data Loss Prevention (E-DLP) detection methods to detect sensitive
data.
Review the list of Enterprise Data Loss Prevention (E-DLP) detection methods. Detection methods are
traffic match criteria techniques used by Enterprise DLP to inspect for and prevent
exfilitration of sensitive data. Detection methods can be added alongside any
combination of predefined, custom regex, or file property data patterns in an advanced data profile.
Upload custom documents containing intellectual property for which
you want to prevent exfiltration. Custom document types function as
traffic match criteria in advanced data profiles.
Advanced data profiles allow you to specify whether you want to Enterprise DLP to detect all instances of traffic match
criteria or only unique instances of the traffic match criteria.
Data dictionaries are a collection of one or more keywords or phrases that you
want to detect and prevent exfilitration. A data dictionary is added
as a match criteria alongside the other supported match criteria in
advanced and nested data profiles to
increase the Enterprise Data Loss Prevention (E-DLP) detection accuracy.
Upload data sets to detect sensitive and personally identifiable
information (PII) in structured data sources. EDM data sets function
as traffic match criteria in advanced data profiles.
