Customer stories
Securing Sensitive Health Data for Southern Nevada Health DistrictÂ
Industry
Healthcare
Employees
800
Use Case
Healthcare data, 365 Governance
The challenge
During the COVID-19 pandemic, the agency faced unprecedented demands and were processing thousands of tests daily — all while having to protect massive amounts of healthcare-related data
As the leading public health agency in the Las Vegas area, the Southern Nevada Health District (SNHD) manages a wide range of critical services, including restaurant and hotel inspections, primary care, and regulatory public health actions. During the COVID-19 pandemic, the agency faced unprecedented demands and were processing thousands of tests daily — all while having to protect massive amounts of healthcare-related data, including PHI (protected health information) and PII (personally identifiable information). Â
Before deploying Concentric AI, SNHD relied on a competitor’s solution for data classification and security. While that platform provided basic visibility, it fell short in several areas: Â
- Limited insights into sensitive data stored in shared drives and cloud environmentsÂ
- Inability to identify inappropriate access to sensitive dataÂ
- Resource-heavy deployment requiring multiple servers and significant staff oversightÂ
- Lack of flexibility to adapt to new challenges, such as Microsoft 365 governance
The solution
SNHD approached Concentric AI because it needed a more agile and effective approach to data security
During the proof of concept (POC) phase, Concentric AI immediately identified significant risks, including unprotected PHI and PII in shared drives.Â
This initial success in the POC led to a full deployment that addressed SNHD’s unique needs:Â
Accurate discovery of sensitive data: Concentric AI’s advanced scanning capabilities provided visibility into data across on-premise servers, SharePoint, and Teams. The solution identifies sensitive data locations and access points, many of which were previously unknown or not visible.Â
Better data classification: Concentric AI autonomous categorization allowed SNHD to tag sensitive data accurately and streamline data governance processes.Â
Microsoft 365 governance: With granular permission analysis, SNHD gained better control over end-user sharing in Office 365, preventing unauthorized access to sensitive information.Â
Future-ready governance: SNHD is now better positioned to deploy tools like Microsoft Copilot, having established a solid foundation of access governance and data security.Â
From the customer
Results
Robust security posture
The ability to discover and remediate any inappropriate access permissions significantly reduced the risk of data breaches.
Reduced overhead
Time spent on data classification and governance tasks decreased by over 75%*, enabling the small IT team to focus on strategic initiatives.
Easy deployment and resource optimization
The streamlined deployment saved costs on hardware and staffing, freeing up resources for other critical projects and reduced the number of dedicated servers from six to one.