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storyUnited StatesInformation TechnologyRisk and complianceCapability

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Datadog@Fortinet

Fortinet Runs Detection Engineering with Datadog

Fortinet, an information technology organization in the United States, uses Bits AI from Datadog to support detection engineering for detection engineers.

When security telemetry outgrew homegrown tracking, Fortinet brought in Datadog.

“From the United States, information technology teams still had to serve customers and internal partners who expected a straight answer.”
“Datadog is an observability platform that unifies metrics, traces, logs, and security signals for cloud applications.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
Risk and complianceBits AI is the governed place detection engineers use for detection engineering
Risk and complianceFewer stalled items because security telemetry has a clear owner
CapabilityNew joiners can see how detection engineering actually runs

Story

Fortinet grew security telemetry faster than the local tools around it. From the United States, information technology teams still had to serve customers and internal partners who expected a straight answer. Detection engineers were the ones stitching the picture together by hand.

Rolling out Bits AI put detection engineering on Datadog. Datadog is an observability platform that unifies metrics, traces, logs, and security signals for cloud applications. Fortinet keeps the product in the path where work already happens, so detection engineers do not context-switch into a graveyard system used only for audits.

The visible result is steadier detection engineering. Security telemetry is easier to inspect, and adjacent groups can join detection engineers without a guided tour of someone's desktop.

Value Graph

Fortinet uses Datadog, Stripe, Atlassian, Confluent. Shared with 1Password, Ahold Delhaize, Airbyte, Apollo Global Management, Applied Materials. Industry: Information Technology. Value: Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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