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[DGA] Add serverless security capability to DGA - #20523

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[DGA] Add serverless security capability to DGA#20523
sodhikirti07 wants to merge 2 commits into
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add-security-label-for-serverless-dga

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Proposed commit message

This PR adds security serverless capability to DGA manifest.

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  • I have reviewed tips for building integrations and this pull request is aligned with them.
  • I have verified that all data streams collect metrics or logs.
  • I have added an entry to my package's changelog.yml file.
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@sodhikirti07 sodhikirti07 added enhancement New feature or request Integration:dga Domain Generation Algorithm Detection Team:Security-Applied ML Elastic Security Protections Machine Learning (ML) team [elastic/sec-applied-ml] labels Aug 4, 2026
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github-actions Bot commented Aug 4, 2026

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✅ Elastic Docs Style Checker (Vale)

No issues found on modified lines!


The Vale linter checks documentation changes against the Elastic Docs style guide. To use Vale locally or report issues, refer to Elastic style guide for Vale.

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Previously, an issue with the DGA integration prevented us from promoting it to Serverless during the initial launch. The issue was related to the ingest node sizing requirements for large models like DGA. This has now been resolved by the ML team under: elastic/elasticsearch#152981 and https://github.com/elastic/elasticsearch-serverless/pull/7182.

I tested installing the DGA integration on the latest serverless (search project) deployment and was able to get the prediction from the model. Couldn't test it on security project as DGA is in security serverless exclusion list. Once the PR to remove DGA from exclusion list is merged, I'll test this PR again in security project.

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✅ All changelog entries have the correct PR link.

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Security-ML Integrations Test Pipeline — Integrations CI (run #2)

🟢 All packages passed

Package Stack version Result
dga 9.5.0 🟢

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💚 Build Succeeded

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enhancement New feature or request Integration:dga Domain Generation Algorithm Detection Team:Security-Applied ML Elastic Security Protections Machine Learning (ML) team [elastic/sec-applied-ml]

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