Normalized claim
Time: 30% decrease
Expected to reduce analysts' time needed for threat response by about 30%.
GCPEvidence: Medium50/100
Evolutio: Chronicle SOAR automation to reduce threat response time and false positives
Use case typeIT operationsUpdated Jun 13, 2026
Evolutio, a cybersecurity services provider in Spain and Portugal, implemented Google Cloud Chronicle SOAR to mature and automate its security orchestration, incident response, and threat monitoring workflows. The solution groups and tiers customer service levels based on cyber maturity, automates parts of incident and remediation workflows, and reduces false positives so analysts can focus on higher-value investigation and playbook development.
- Organization
- Evolutio
- Industry
- Tech & Comms
- Location
- Spain
- Published
- June 2026
Reported outcomes
−30%
timeTime & speed
Strategic outcomes
Speed & agilityAutomated security response workflowsNew product / capabilityGrouped services by cyber maturityCustomer experience & trustReduced false positives and alert fatigueCustomer experience & trustIncreased trust with the customer base
Why do we believe this?Outcome claims, sources, and evidence checks
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Evolutio
- Provider
- GCP
- Maturity
- Unknown
- Linked source
- Google Cloud Customer Stories
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1SOAR automation
- 2security operations
- 3incident response automation
- Evolutio needed to mature and automate SOAR workflows, reduce repetitive analyst checks, and lower false positives and alert fatigue in customer threat monitoring.
- The existing platform had limitations that affected the maturity and efficiency of its cybersecurity practice.
- Implemented Google Cloud Chronicle SOAR as the core platform for security orchestration, automation, and response.
- Used it to group and tier customer services by cyber maturity and automate remediation and response tasks.
- Reduced false alarms and enabled analysts to spend more time on playbooks and new use cases.
Technologies
- Expected to reduce analysts' time needed for threat response by about 30%.
- Improved talent retention and capacity for additional use cases.
- Reduced false positives and increased trust with the customer base.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jun 6, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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