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Updates Network Beaconing installation link #4137

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merged 5 commits into from
Nov 4, 2023
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Merged

Updates Network Beaconing installation link #4137

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2444e2d
Updates Network Beaconing installation link
natasha-moore-elastic Oct 31, 2023
c4d447e
Update docs/experimental-features/beaconing-detection.asciidoc
natasha-moore-elastic Nov 1, 2023
c2332b2
Adds note about manual installation
natasha-moore-elastic Nov 1, 2023
690f136
Update docs/experimental-features/beaconing-detection.asciidoc
natasha-moore-elastic Nov 1, 2023
d4a6c50
Merge branch 'main' into issue-4036-network-beaconing
natasha-moore-elastic Nov 4, 2023
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6 changes: 4 additions & 2 deletions docs/experimental-features/beaconing-detection.asciidoc
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Expand Up @@ -6,9 +6,11 @@ This feature provides an early warning system for command and control beaconing
[discrete]
=== Deploy the package

To deploy the network beaconing framework in your environment using the https://github.com/elastic/detection-rules/releases/tag/ML-Beaconing-20211216-1[release package], follow https://github.com/elastic/detection-rules/blob/main/docs/experimental-machine-learning/beaconing.md[these steps].
To deploy the network beaconing framework in your environment, follow {integrations-docs}/beaconing#installation[these steps].

The release package includes dashboards for monitoring beaconing activity in your environment. You can review signals via a Lens dashboard called Network beaconing.
The installation package includes dashboards for monitoring beaconing activity in your environment. You can review signals using a Lens dashboard called Network beaconing.

NOTE: If you want to modify any of the package components, you can install the package manually by following https://github.com/elastic/detection-rules/blob/main/docs/experimental-machine-learning/beaconing.md[these steps].

[role="screenshot"]
image::images/beaconing-detection-1.png[]
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