Case study
ServiceNow SecOps: Reducing MTTR by up to 50% in CrowdStrike Security Operations at Scale
Asian Market
- Team size: 7
- Development time: 15 weeks
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Background
Enterprises often add more security, IT, and asset platforms to improve control, but without strong governance, these systems can become fragmented instead of integrated. McKinsey (2026) says that 80% of companies cite data limitations as a roadblock to scaling, and while nearly two-thirds have experimented with agents, fewer than 10% have scaled them to deliver tangible value. Research from KPMG (2025) shows that only 24% of organizations are focusing on building a data-centric culture and ensuring interoperability, which shows how many are still struggling with data integration and governance. In this context, ServiceNow Security Operations (SecOps) is increasingly adopted as a system of action to unify security telemetry, asset data, and incident response workflows into a single, governed model.
For our client, a multinational manufacturer operating across multiple regions, the challenge was not a lack of tools, but a lack of a governed operating model connecting CrowdStrike Falcon, Microsoft Intune, and ServiceNow across 20,000+ endpoints and more than 300,000 CIs. Security analysts had to manually move across systems to gather context, while inconsistent CMDB data, duplicate records, and weak correlation logic slowed triage and reduced operational efficiency.
GEM was engaged to implement a ServiceNow SecOps model, establishing a governed CMDB foundation, enabling automated, business-aware security operations with better visibility, prioritization, and scalability.
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
GEM implemented a structured ServiceNow SecOps approach, following a discovery-led methodology and dividing the project into 2 phases:
Phase 1: Establish a governed CMDB foundation
Our experts assessed the Intune integration, reviewed CMDB data quality, and validated endpoint identity and governance gaps. The team then defined Intune as the authoritative source and configured CrowdStrike in update-only mode. Using IRE rules, attribute ownership, and duplicate-prevention logic, our specialists ensured one CI per endpoint and introduced exception governance with remediation workflows, reconciliation queues, and audit-ready controls.
Phase 2: Operationalize security incidents in ServiceNow
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.
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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
