Use this curated pack to explore Elastic machine learning recipes for operational anomalies, security behavior, business metrics, and starter datasets.
What is included
- IT operations recipes for service response and system metric changes.
- Security analytics recipes for DNS data exfiltration, HTTP data exfiltration, suspicious login activity, and suspicious process activity.
- Business metrics, getting started examples, anomaly detection, outlier detection, feature importance, and analytics notebooks from elastic/examples.
Who it helps
Teams evaluating Elastic ML can use these examples as practical patterns for detector design, data preparation, and analysis workflows.
Compatibility
The upstream Machine Learning README states the examples target Elastic Stack ML features introduced in X-Pack 5.4. Tagged as 5.x compatibility.
Source and license
Source: elastic/examples Machine Learning. The upstream repository is licensed under Apache 2.0.
The ZIP attached to this draft contains the reusable upstream files plus the available license or notice files.
| Tested versions | 5.x |
| ECS compliant | |
| Tested versions |
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