Story
Elastic
Sherwin-WilliamsHow Sherwin-Williams Runs Detection Engineering on Elastic Observability
Sherwin-Williams, a materials organization in the United States, uses Elastic Observability from Elastic to support detection engineering for detection engineers.
Value results
| Category | Value result |
|---|---|
| Productivity | Handoffs in detection engineering sit in a shared queue instead of a mailbox trail |
| Risk and compliance | Fewer stalled items because security telemetry has a clear owner |
| Capability | New joiners can see how detection engineering actually runs |
Story
Sherwin-Williams is based in the United States and runs materials operations at a scale where security telemetry cannot live in side channels. Detection engineers were reconciling competing copies of the same work, which slowed detection engineering and hid who owned the next step.
The company runs detection engineering on Elastic, with Elastic Observability as the product detection engineers actually open. Elastic builds search, observability, and security software on Elasticsearch, used to find information and investigate operational data. For Sherwin-Williams, that means detection engineers can open one workflow, see security telemetry, and let neighboring teams join without inventing a parallel stack.
Public materials confirm the companies and products. They do not always publish a single verified KPI for this pairing, so the outcome here is operational: clearer ownership, fewer stalled handoffs, and a shared record for security telemetry.
