The Elastic Security Labs article explains how the team works around the lack of MDM for Linux by using Elastic Agent and Elastic Defend already installed on its workstations. Every six hours, a workflow lists endpoints, checks whether deployment is queued, and sends managed configuration to hosts that have not received it. A newly enrolled machine enters the next run; a host offline for a week accumulates one action rather than 28. The reported logic is 68 lines of YAML.
The pattern distributes organization-wide configurations for AI coding tools. The article distinguishes policy and configuration layers in Codex, mentions OpenTelemetry defaults, and describes system hooks in Cursor. The cited Linux deployment still writes OpenTelemetry defaults to the legacy managed_config.toml layer, as the production script is currently packaged. The article does not claim that this workflow is a universal endpoint-management solution.
To reproduce the pattern, the article lists Elastic Stack 9.4 or later with an Enterprise subscription, or an Elastic Cloud Serverless project with the appropriate resource category; Elastic Agent and the Elastic Defend integration on endpoints; Workflows enabled in Kibana; and roles with specific permissions for Workflows, the endpoint list, and response-action history. Anyone uploading or changing the script also needs permission to manage Elastic Defend scripts. The team says it validated the complete workflow on Elastic Stack 9.5.1.
To consult and verify the account, find “Linux endpoint management with Elastic Workflows” in the Elastic Security Labs feed and check the original publication. The source supplied here is truncated, so details beyond