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St. Luke's saves nearly 200 hours monthly with AI-powered Security Copilot agents
Security teams often struggle with a lack of unified visibility across their tools, which delays the detection and neutralization of threats. St. Luke's addressed this challenge by implementing Microsoft Security Copilot to integrate its security stack. This integration drastically reduced the time spent on phishing triage, saving the organization nearly 200 hours every month. Watch the video to learn how they achieved these results.
Frequently Asked Questions
How is St. Luke’s using AI-powered Security Copilot?
St. Luke’s University Health Network uses Security Copilot in Microsoft Defender as the “connective tissue” across its security stack. In practice, this means the AI-powered agents pull together information from different security tools into a single, consolidated view of:
Security alerts
Access controls
Vulnerabilities
Instead of analysts jumping between multiple dashboards, Security Copilot helps them see the full picture in one place and respond more quickly and consistently.
What measurable impact has Security Copilot had at St. Luke’s?
St. Luke’s reports a clear productivity gain from using AI-powered Security Copilot agents. By consolidating alerts, access control data, and vulnerability information into one AI-assisted experience, the organization now saves nearly 200 hours every month in its security operations.
This time savings comes from:
Reducing manual investigation across multiple tools
Speeding up triage and response to alerts
Automating parts of the analysis that previously required repetitive human effort
Those reclaimed hours can be redirected to higher-value security work and strategic initiatives.
How does Security Copilot reshape St. Luke’s security workflow?
Security Copilot helps St. Luke’s reimagine its security workflow by acting as an AI-powered assistant that sits on top of Microsoft Defender and the broader security stack. It:
Unifies data from alerts, access controls, and vulnerability tools into one coherent view
Guides analysts through investigations with AI-generated insights and context
Reduces noise by helping teams focus on the most relevant and risky issues first
As a result, the security team can move from reactive, tool-by-tool analysis to a more integrated, AI-assisted approach that supports faster, more informed decision-making.
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