Several capabilities made Gurucul stand out from the competitors. “The platform leverages a variety of machine learning and AI models that our analysts can put to use with relative ease,” says Kasilingham.
“When you put a SIEM in place that can discover the things that you didn’t think to ask, your visibility and your understanding of your own environment increases exponentially.” – Bob Vail, CISO, Citrine Informatics
Gurucul’s security analytics platform allows the healthcare provider to establish baseline behavior profiles for its medical devices. These baselines help Allina Health detect activities that are outside the normal patterns and which may indicate a device needs maintenance or has been compromised.
They achieved the following objectives with Gurucul Behavior Based Security Analytics: insider threat detection, IP protection, detecting threats in real-time, reducing manual efforts, and reducing false positives.
View this customer testimonial to learn more about Aetna’s success implementing Gurucul User and Entity Behavior Analytics (UEBA) and Identity Analytics.
Watch this video to understand how Allina Health used Gurucul’s Risk Analytics (GRA) to protect Players’ and VIP medical records at the Super Bowl in Minneapolis.
Hear from Gurucul customers directly as they share their experiences working with Gurucul’s real-time behavior based security analytics and intelligence technology.
Download this customer case study to learn how they eliminated rubberstamping, accelerated and expanded threat detection, and automated repetitive tasks with Gurucul Risk Analytics.
Read this Gurucul customer case study to understand how a Healthcare provider achieved a drastic reduction in previously undiscovered privileged access entitlements.