Legacy tools missed internal threats. Now, AI isolates compromised devices in seconds, freeing analysts and ensuring uninterrupted care.
A nonprofit community hospital serving patients across a 200-mile radius through an acute care facility and 16 associated clinics.
The transition to electronic health records, cloud services, and connected medical devices rapidly expanded the organization's attack surface. IT...
“Cybersecurity has moved beyond the IT department – it’s now a frontline patient safety issue. Our mission at Artesia is to make sure technology never becomes the weak link in delivering care.”
Community hospital providing emergency, primary, and specialty healthcare services.
Self-learning AI platform for cybersecurity threat detection and autonomous response.
Artesia General Hospital's Threat detection and response is part of this use case:
Related implementations across industries and use cases
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Clinicians were buried in manual data entry. AI now automates note-taking, freeing providers to focus on patients rather than paperwork.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Legacy tools missed internal threats. Now, AI isolates compromised devices in seconds, freeing analysts and ensuring uninterrupted care.
A nonprofit community hospital serving patients across a 200-mile radius through an acute care facility and 16 associated clinics.
The transition to electronic health records, cloud services, and connected medical devices rapidly expanded the organization's attack surface. IT...
“Cybersecurity has moved beyond the IT department – it’s now a frontline patient safety issue. Our mission at Artesia is to make sure technology never becomes the weak link in delivering care.”
Community hospital providing emergency, primary, and specialty healthcare services.
Self-learning AI platform for cybersecurity threat detection and autonomous response.
Artesia General Hospital's Threat detection and response is part of this use case:
Related implementations across industries and use cases
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Clinicians were buried in manual data entry. AI now automates note-taking, freeing providers to focus on patients rather than paperwork.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Analysts dug through disconnected portals to triage alerts. Now, AI autonomously classifies threats and drafts reports in minutes.
Disconnected security tools left cloud blind spots. Now, AI autonomously contains threats, freeing analysts for complex investigations.
Manual scheduling took 3 days, slowing hiring. An AI agent now screens and books interviews in 29 minutes, doubling scheduled volume.
Clinicians spent evenings buried in manual notes. AI now generates charts from audio, scaling from primary care to oncology.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.