Case Study: ECS scales SOC alert handling and automates 70% of Tier 1 alerts with Dropzone AI

A Dropzone AI Case Study

Preview of the ECS Case Study

ECS automates 70% of Tier 1 alerts with Dropzone AI

ECS, a $1.2 billion provider of advanced technology solutions, faced significant challenges in scaling its security operations center (SOC). As a major managed security service provider (MSSP), its alert volume was growing faster than its staffing capacity, leading to analyst fatigue and inconsistent manual triage. The existing security orchestration, automation, and response (SOAR) technology had reached its limits. ECS engaged Dropzone AI to implement its AI SOC Agents as a foundation for a more scalable and resilient detection model.

Dropzone AI integrated directly into ECS's workflow to autonomously investigate alerts. The solution safely auto-closed 70% of all Tier 1 alerts, immediately investigating 100% of alerts to eliminate queues and acknowledgment delays. This allowed ECS to break its scalability ceiling of 30,000 alerts per month without adding headcount, cleared all Tier 1 backlogs, and improved analyst effectiveness and retention.


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