New

The executive guide to generative AI

Read more
About usPartnersSupport|Login
IMPORTANT: No additional bug fixes or documentation updates will be released for this version. For the latest information, see the current release documentation.
« Entity risk scoring prerequisites Elastic Defend feature privileges »
Elastic Docs ›Elastic Security Solution [8.13] ›Get started with Elastic Security ›Elastic Security system requirements

Machine learning job and rule requirements

edit
IMPORTANT: This documentation is no longer updated. Refer to Elastic's version policy and the latest documentation.

Machine learning job and rule requirements

edit

To run and create machine learning jobs and rules, you need all of these:

  • The appropriate license
  • There must be at least one machine learning node in your cluster
  • The machine_learning_admin user role

For more information, go to Set up machine learning features.

The machine_learning_admin and machine_learning_user built-in roles give access to the results of all anomaly detection jobs, irrespective of whether the user has access to the source indices. Likewise, a user who has full or read-only access to machine learning features within a given Kibana space can view the results of all anomaly detection jobs that are visible in that space. You must carefully consider who is given these roles and feature privileges; anomaly detection job results may propagate field values that contain sensitive information from the source indices to the results.

« Entity risk scoring prerequisites Elastic Defend feature privileges »
Was this helpful?
Feedback