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[DOCS] Adds highlight for ML auditbeat module (#28971)

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Lisa Cawley 2019-01-18 13:32:11 -08:00 • committed by GitHub
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@ -121,3 +121,17 @@ occurring in your operational environment or to explain why anomalies were
detected. After you add annotations, they are also listed in the
*Anomaly Explorer* and the *Job Management* page. See <<xpack-ml>>.
[float]
=== Simplified creation of {ml} jobs for {auditbeat} data
If you use {auditbeat} to collect data about processes that are running in your
system, there are {ml} wizards that recognize this type of data. They expedite
the creation of customized jobs, dashboards, searches, and visualizations.
For example, you can select a supplied configuration to detect unusual processes
in Docker containers:
[role="screenshot"]
image::images/highlights-6.6.0-data-recognizer.jpg[{ml} jobs for {auditbeat} data]
For more information, see <<ml-jobs>>.