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Larry Franks
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adding info on patching
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articles/machine-learning/concept-environments.md

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@@ -106,6 +106,18 @@ The following diagram shows three environment definitions. Two of them have diff
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> [!WARNING]
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> The [Environment.build](/python/api/azureml-core/azureml.core.environment.environment#build-workspace--image-build-compute-none-) method will rebuild the cached image, with possible side-effect of updating unpinned packages and breaking reproducibility for all environment definitions corresponding to that cached image.
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### Image patching
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Microsoft is responsible for patching the base images for known security vulnerabilities. Updates for supported images are released every two weeks, with a commitment of no unpatched vulnerabilities older than 30 days in the the latest version of the image. Patched images are released with a new immutable tag and the `:latest` tag is updated to the latest version of the patched image.
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If you provide your own images, you are responsible for updating them.
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For more information on the base images, see the following links:
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* [Azure Machine Learning base images](https://github.com/Azure/AzureML-Containers) GitHub repository.
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* [Train a model using a custom image](how-to-train-with-custom-image.md).
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* [Deploy a TensorFlow model using a custom container](how-to-deploy-custom-container.md)
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## Next steps
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* Learn how to [create and use environments](how-to-use-environments.md) in Azure Machine Learning.

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