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Elastic@Red Hat

Red Hat Adopts Elastic for Detection Engineering

Red Hat, an information technology organization in the United States, uses Elastic Search AI from Elastic to support detection engineering for detection engineers.

Value results

CategoryValue result
ProductivityHandoffs in detection engineering sit in a shared queue instead of a mailbox trail
Risk and complianceFewer stalled items because security telemetry has a clear owner
CapabilityNew joiners can see how detection engineering actually runs

Story

Inside Red Hat, detection engineering used to depend on whoever still had the latest file. That pattern is common in information technology groups working out of the United States. Detection engineers needed a system that would still make sense after the original project team moved on.

Red Hat uses Elastic Search AI from Elastic as the working layer for security telemetry. Elastic builds search, observability, and security software on Elasticsearch, used to find information and investigate operational data. The practical change is simple: detection engineering has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What Red Hat gets from Elastic is a durable place to run detection engineering and a way for detection engineers to see the same security telemetry at the same time.

Relationship map

Red Hat uses Elastic, Datadog, Microsoft, NVIDIA, AWS, CrowdStrike, Dynatrace. Shared with ABN AMRO, Accor, Adidas, Airbyte, Allstate. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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