Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
A healthcare network operating 15 campuses and 300 outpatient sites, managing over 23,000 employees and 2.5 petabytes of sensitive patient data.
Security analysts spent hours manually digging through multiple portals to triage hundreds of daily alerts, particularly user-reported suspicious...
“Healthcare is the number one cyberattack target in the world. A cyberattack paralyzes our ability to provide life-saving care to our patients.”
St. Luke's University Health Network's Security operations is part of this use case:
Regional healthcare network providing acute care, specialty services, and medical education.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
An overwhelming inbox led to abrasive replies. AI now summarizes threads and softens tone, cutting email time 70%.
Legacy tools missed internal threats. Now, AI isolates compromised devices in seconds, freeing analysts and ensuring uninterrupted care.
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
Junior analysts relied on senior staff for complex investigations. Now, they use AI to query telemetry and resolve incidents independently.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
A healthcare network operating 15 campuses and 300 outpatient sites, managing over 23,000 employees and 2.5 petabytes of sensitive patient data.
Security analysts spent hours manually digging through multiple portals to triage hundreds of daily alerts, particularly user-reported suspicious...
“Healthcare is the number one cyberattack target in the world. A cyberattack paralyzes our ability to provide life-saving care to our patients.”
St. Luke's University Health Network's Security operations is part of this use case:
Regional healthcare network providing acute care, specialty services, and medical education.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
An overwhelming inbox led to abrasive replies. AI now summarizes threads and softens tone, cutting email time 70%.
Legacy tools missed internal threats. Now, AI isolates compromised devices in seconds, freeing analysts and ensuring uninterrupted care.
Manual reporting and blind spots overwhelmed the SOC. Now, analysts use AI to summarize phishing threats, speeding the handoff to IT.
Junior analysts relied on senior staff for complex investigations. Now, they use AI to query telemetry and resolve incidents independently.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Compliance risks held back innovation. Engineers now use Claude Code to validate every PR for privacy and write tests 80% faster.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.