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AI threat detection at Maebashi Red Cross Hospital
Maebashi Red Cross Hospital linked AI threat detection across about 150 switches to automatic backups
Problem
Medical equipment restricted the installation of endpoint security software. A small security team also struggled to investigate alerts and assess threats.
Approach
The hospital deployed Cisco XDR to analyze network behavior and prioritize incidents using AI. It collected NetFlow from about 150 switches and connected incident detection to Cohesity DataProtect, which automatically created backups.
Results
Takeaway
Network monitoring covered equipment that could not accept endpoint agents. The hospital also revised its response drills around early incident detection.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Cisco described the hospital's deployed threat monitoring and incident scoring. It reported collection from about 150 switches and an integration that triggered backups when incidents were detected.
Full details are in the original sources.
