12.7.17

ExtraHop Helps Wood County Hospital Avert a Major Security Breach

Leading Regional Hospital Uses Network Traffic Analytics to Rapidly Identify and Investigate Anomalies and Attack Patterns, Protecting Hospital Assets and Patient Information

SEATTLE – December 7, 2017 – ExtraHop, the leader in IT analytics for network security and performance management, today announced that Wood County Hospital, a leading regional hospital serving the Northern Ohio area, is using ExtraHop to protect critical assets and patient data from major security threats. With network traffic analytics from ExtraHop, CIO Joanne White and her team averted a major ransomware attack, detecting it two weeks before it was surfaced by their managed security service provider (MSSP).

Wood County Hospital has served the patients of Wood County, Ohio, since 1951. Its operations now span the main hospital center as well as multiple satellite clinics and offices supported by over 700 clinical, administrative, and IT staff. In order to gain critical visibility and improve the signal-to-noise ratio regarding potential threats, Wood County decided to add network traffic analytics to their security portfolio. After evaluating a few solutions, White and her team selected ExtraHop, which delivered immediate security visibility at less than half the cost of competing solutions, all without the need for a specialist that would have cost the hospital in excess of $70,000 per year.

"In the evaluation, ExtraHop delivered immediate value out of the box and its competitive pricing was the cherry on top. It was a no-brainer," says White.

It didn't take long for Wood County to start seeing results from ExtraHop. After an employee identified a message that looked like ransomware, the security team turned to ExtraHop to investigate the incident. Sure enough, ExtraHop had already sent alerts on the threat – a new strain of ransomware known as CryptFlle2. With the information ExtraHop provided, the team was able to quickly identify and quarantine the infected machine, neutralizing the threat before it could impact Wood County's operations.

"Without ExtraHop, the investigation would have taken days or weeks, exposing the hospital to potentially catastrophic risk," says White. "Even the FBI was impressed when they found out how quickly we identified and contained the threat!"

"Healthcare organizations are lucrative targets for advanced persistent threats, including ransomware. This is because patient data is highly valuable," said Raja Mukerji, co-founder at ExtraHop. "Wood County Hospital takes these threats seriously, and they are building a security architecture that acknowledges the reality of today's threats rather than yesterday's. With a defense-in-depth strategy that includes ExtraHop, they've averted a major security event, and they continue to get smarter about how they protect their assets, data, and patients."

For more information about how ExtraHop is helping Wood County Hospital detect and avert threats before they turn into breaches, check out the case study: Wood County Hospital Gets Proactive on Security Threats with ExtraHop.

About ExtraHop

ExtraHop is the leading provider of cloud-native network detection and response for the hybrid enterprise. With complete visibility, real-time threat detections, and automated investigation powered by cloud-scale machine learning, ExtraHop enables security teams at leading enterprises including Credit Suisse, The Home Depot, Caesars Entertainment, and Liberty Global to rise above the noise of alerts, organizational silos, and runaway technology in order to accelerate investigations, unify policies across hybrid environments, and build their security the way they're building their business: cloud-first. To experience the power of ExtraHop, explore our interactive online demo or connect with us on LinkedIn and Twitter.

© 2019 ExtraHop Networks, Inc., Reveal(x), and ExtraHop are registered trademarks or marks of ExtraHop Networks, Inc.

Press Contact

Mentha Benek

ExtraHop Networks

206-787-8417

pr@extrahop.com