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.”
Regional healthcare network providing acute care, specialty services, and medical education.
Enterprise software, cloud infrastructure, and consumer electronics platform.
St. Luke's University Health Network's Security operations is part of this use case:
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 EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
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.”
Regional healthcare network providing acute care, specialty services, and medical education.
Enterprise software, cloud infrastructure, and consumer electronics platform.
St. Luke's University Health Network's Security operations is part of this use case:
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 EHR reviews and false alarms overloaded clinicians. Now, AI delivers plain-language patient summaries and early-warning alerts.
Typing notes broke eye contact and caused late nights. Now, AI drafts records from spoken exam findings so vets stay present.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.