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PagerDuty@Murata Manufacturing

Murata Manufacturing Brings Security Telemetry onto PagerDuty

Murata Manufacturing, an information technology organization in Japan, uses AIOps from PagerDuty to support detection engineering for detection engineers.

Murata Manufacturing folded AIOps into detection engineering so detection engineers share one view of security telemetry.

“Information Technology work at Murata Manufacturing spans more than one site, even when headquarters sits in Japan.”
“Detection engineers asked for a shared way to run detection engineering without freezing local judgment.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
Risk and complianceDetection engineers work from the same AIOps record for security telemetry
Risk and complianceSecurity telemetry can be reviewed without waiting on a personal export
CapabilityDetection engineering stays visible to adjacent teams through AIOps

Story

Information Technology work at Murata Manufacturing spans more than one site, even when headquarters sits in Japan. Security telemetry was splitting across regional habits. Detection engineers asked for a shared way to run detection engineering without freezing local judgment.

PagerDuty (AIOps) is what they standardized on. PagerDuty is an operations cloud for incident response, on-call, and event intelligence used by digital operations teams. Murata Manufacturing uses it as the system of record for security telemetry, with detection engineers as the primary operators and other groups coming in through the same queue.

Leaders get a picture they can actually walk. Teams get fewer mystery statuses. The story is about operating change, not an unpublished percentage.

Value Graph

Murata Manufacturing uses PagerDuty, Red Hat, Microsoft Azure, Appian, Confluent, Box. Shared with Advantest, Alcoa, Astellas, AstraZeneca, AutoNation. Industry: Information Technology. Value: Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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