AI case study

SK ShieldusSecurity operations

Siloed data kept model accuracy under 70%. A unified platform raised precision to >90%, cutting unnecessary security dispatches.

Published|6 months ago

Key results

Model Accuracy
>90%
Dispatch Reduction
2%

Result highlights

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The story

Context

South Korea’s leading converged security provider operates the country's largest network, serving over 1 million customers across physical, information, and industrial safety sectors.

Challenge

Data was trapped in siloed legacy systems with incompatible formats, while machine learning models operated with less than 70% accuracy. This lack of...

Solution
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Scope & timeline

  • Unified data platform built in 6 months

Quotes

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The company

SK Shieldus logo

SK Shieldus

skshieldus.com

Integrated physical and cyber security services for individuals and enterprises.

IndustryTechnology
LocationSeongnam, South Korea
Employees1K-5K
Founded2021

The vendor

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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