Case Study

Estonian health and welfare organization cuts MTTR by 40% with Elastic

Estonian health and welfare organization cuts MTTR by 40% with Elastic

Pages 5 Pages

TEHIK, Estonia's health and welfare organization, cut mean time to resolution (MTTR) by 40% using Elastic Security and Observability in the public sector. Elastic software streamlined incident management for faster threat response and root cause analysis, while shortening control and audit processes from days to minutes across multiple teams. It enhanced system transparency with machine learning tools, reducing false positives and system interruptions to enable smaller, agile teams. This established a clear roadmap to deploy Elastic AI Assistant, guiding analyst workflows and broadening security tool adoption for proactive efficiency.

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