Case Study
Patient First
(USA)

Patient First is a chain of urgent care centers in the United States with the mission of making access to quality medical care as convenient and cost-effective as possible. Established in 1981, Patient First currently has 75 locations in Virginia, Maryland, Pennsylvania, and New Jersey.

The Challenge

Patient First was looking for a solution that helps them to achieve compliance with different data protection regulations like HIPAA or PCI DSS. Another important aspect the company was searching for was to get a close monitoring of employees’ activity and related data transfers.

The Solution

Patient First is using our Device Control module which allows full control of peripheral ports and connected storage devices. Sensitive data - like personally identifiable information (PII) or personal health information (PHI) - is protected from leaving the company’s network by managing the rights of each device; device rights can be configured globally, per group, computer, user and device.


On a scale of 1 to 5 (one being “poor” and five being “excellent”), Patient First described Endpoint Protector’s granularity, ease of use and availability of staff when calling or asking for assistance as excellent.


Endpoint Protector comes with a large database of predefined policies for the most common types of sensitive data as well as policies meant to support achieving compliance with PCI DSS, HIPAA etc. The solution has a modern user-friendly interface that offers a short learning curve and allows even non-specialized personnel to easily understand and use it.

Why Endpoint Protector?

Patient First chose Endpoint Protector because the solution comes with granular policies and settings as well as due to its user-friendly interface.

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Data Loss Prevention (DLP) for Healthcare Institutions
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Data Loss Prevention (DLP) for Healthcare Institutions

The healthcare sector is among the most affected by data breaches on a global level and it is essential for organizations operating within this sector to ensure the safe handling of data. Collected in high volume and often stored on vulnerable systems, health information is a highly sensitive category of data.

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