In some instances,
Enterprise Data Loss Prevention (E-DLP)
may incorrectly detect and take action on
network traffic that it should not have. This is called a
false
positive
detection and they can cause productivity impacts to
individual employees and
Enterprise DLP
administrators alike. False positive
detections are commonly caused by traffic match criteria in your data patterns that
are too generalized or may be instances where the
Enterprise DLP
machine
learning (ML) models need to be manually trained. Review the recommendations below
to help reduce the chance of false positive detections.