Case study
ServiceNow SecOps: Reducing MTTR by up to 50% in CrowdStrike Security Operations at Scale
- Team size: 7
- Development time: 15 weeks
Background
Challenges
Before implementation
The client’s security, endpoint, and operational systems worked in silos, so analysts could not easily connect endpoint risk to business impact. Incidents were prioritized by technical severity rather than business criticality, which led to slower response for high-impact risks. Duplicate and unreliable CMDB records also weakened trust in asset data, while repeated detections created ticket storms that overwhelmed SOC teams.
During delivery
GEM had to balance CMDB integrity, security telemetry ingestion, deduplication, and workflow automation at the same time. The team first reviewed the endpoint model and CMDB population, validated the identity strategy, and defined ownership boundaries between endpoint identity data and security telemetry before building the solution.
Solution
Our experts integrated CrowdStrike detections into ServiceNow through secure API-based ingestion. External ID-based deduplication was implemented to eliminate duplicate incidents, while CI correlation and contextual enrichment added business context such as service, ownership, and criticality. Risk-based prioritization was introduced by combining threat severity with business impact. The solution also automated incident creation, routing, and response workflows, transforming raw detections into actionable and scalable ServiceNow SecOps processes.
Tech stack
- SecOps
- SIR
- ITSM
- CMDB
- IntegrationHub ETL
- IRE
- Flow Designer
- Scripted REST APIs
- Reporting & Performance Analytics
Output
- Established a governed CMDB foundation for endpoint identity
- Ensured controlled CI creation with reconciliation and duplicate prevention
- Enabled secure ingestion of CrowdStrike detections into ServiceNow
- Eliminated duplicate incidents through deduplication mechanisms
- Built correlation and enrichment capabilities to add business context to incidents
- Implemented risk-based prioritization combining technical and business factors
- Automated incident creation, routing, and response workflows
- Delivered end-to-end audit traceability across the detection-to-resolution lifecycle
Impacts
- MTTR improved by 30–50% through automated detection-to-resolution workflows.
- Incidents resolved within SLA increased by 30%, reflecting faster and more consistent handling.
- A 7% agent gap was addressed through governed remediation, improving endpoint coverage.
- Escalations caused by incorrect assignment decreased by 40% thanks to clearer correlation and routing.
- Ticket storms were eliminated through external ID-based deduplication.
- Security operations gained end-to-end audit traceability from detection to resolution.
Closing remarks
This case demonstrates how GEM transformed fragmented security tools into a unified ServiceNow SecOps model. By combining CMDB governance, CrowdStrike integration, and automated incident response workflows, GEM enabled faster, more scalable, and business-aware security operations across a complex global environment.
Explore a relevant ServiceNow case here: Transforming Cloud Operations with Scalable ServiceNow Workflow Automation for an ICT Provider
