Case Study: Smart DCC cuts incident detection time by 84% with Elastic Security

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Preview of the Smart DCC Case Study

Smart DCC cuts incident detection time by 84% with Elastic

Smart DCC, the operator of the UK's smart metering network, faced challenges with fragmented security tools and a self-managed infrastructure that struggled to scale. Their legacy system had a limited searchable data window and could not provide the end-to-end visibility needed to quickly detect incidents across their complex environment, which connects 70% of British homes.

By deploying Elastic Security on a containerized, self-managed Kubernetes platform, Smart DCC consolidated its security and network operations. The solution from Elastic provided tiered storage to extend the searchable data window, cross-cluster search for rapid data access, and machine learning for automated anomaly detection. As a result, Elastic helped cut incident detection time by 84%, from 50 minutes to 8 minutes, and enabled the customer to catch 87% more incidents before they impacted users. The consolidation also saved over £250,000 in costs.


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