From 3a297e324684bfa9eaab2dfb950f210819606cc5 Mon Sep 17 00:00:00 2001 From: "mergify[bot]" <37929162+mergify[bot]@users.noreply.github.com> Date: Sat, 4 Nov 2023 13:25:32 +0000 Subject: [PATCH] Updates Network Beaconing installation link (#4137) (#4194) * Updates Network Beaconing installation link * Update docs/experimental-features/beaconing-detection.asciidoc Co-authored-by: Nastasha Solomon <79124755+nastasha-solomon@users.noreply.github.com> * Adds note about manual installation * Update docs/experimental-features/beaconing-detection.asciidoc Co-authored-by: Joe Peeples --------- Co-authored-by: Nastasha Solomon <79124755+nastasha-solomon@users.noreply.github.com> Co-authored-by: Joe Peeples (cherry picked from commit a85ed561d19db934e7d472ab2c0fb1841992265c) Co-authored-by: natasha-moore-elastic <137783811+natasha-moore-elastic@users.noreply.github.com> --- docs/experimental-features/beaconing-detection.asciidoc | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/docs/experimental-features/beaconing-detection.asciidoc b/docs/experimental-features/beaconing-detection.asciidoc index 54bfd944d5..6b2301e5e5 100644 --- a/docs/experimental-features/beaconing-detection.asciidoc +++ b/docs/experimental-features/beaconing-detection.asciidoc @@ -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[]