Siloed data kept model accuracy under 70%. A unified platform raised precision to >90%, cutting unnecessary security dispatches.
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.
Data was trapped in siloed legacy systems with incompatible formats, while machine learning models operated with less than 70% accuracy. This lack of...
“Databricks helped us turn scattered data into something we could use. We improved our model accuracy by 20% and reduced unnecessary dispatches. This made our security services faster and more reliable for the people who count on us.”
Integrated physical and cyber security services for individuals and enterprises.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SK Shieldus's Security operations is part of this use case:
Related implementations across industries and use cases
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Siloed data kept model accuracy under 70%. A unified platform raised precision to >90%, cutting unnecessary security dispatches.
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.
Data was trapped in siloed legacy systems with incompatible formats, while machine learning models operated with less than 70% accuracy. This lack of...
“Databricks helped us turn scattered data into something we could use. We improved our model accuracy by 20% and reduced unnecessary dispatches. This made our security services faster and more reliable for the people who count on us.”
Integrated physical and cyber security services for individuals and enterprises.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
SK Shieldus's Security operations is part of this use case:
Related implementations across industries and use cases
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Routine cloud setups tied up engineers for days. Now, developers ask AI agents in Jira and Webex to provision resources instantly.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.