Arctic Wolf Helps Gifford Health Maintain a More Proactive Approach to Cybersecurity
Company Size
200-1,000
Region
- America
Country
- United States
Product
- Arctic Wolf Managed Detection and Response
- Mimecast Email Security Platform
Tech Stack
- Managed Detection and Response
- Email Security
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
Technology Category
- Cybersecurity & Privacy - Endpoint Security
- Cybersecurity & Privacy - Network Security
- Cybersecurity & Privacy - Security Compliance
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Facility Management
Use Cases
- Intrusion Detection Systems
Services
- Cybersecurity Services
- System Integration
About The Customer
Gifford Health Care is a network of health centers throughout central Vermont and the Upper Valley. Founded well over a century ago, Gifford is a federally qualified nonprofit, community healthcare provider with family health centers and specialty clinics. Named a Top 100 Critical Access Hospital, Gifford has a full-service hospital with a 24-hour emergency department, inpatient and rehabilitation units, a day care, an adult day care, a 30-bed nursing home, and a renowned birthing center.
The Challenge
Beyond saving lives and improving patient quality of life, the healthcare industry faces another daunting task—safeguarding patient data, business operations, and revenue from today’s cybercriminals. As cyberattacks in healthcare become more sophisticated, hospitals will face increased exposure to malpractice claims and potential lawsuits, according to Moody’s Investor Service. The situation is especially difficult for smaller healthcare providers that lack the financial means to weather a data breach. Many of these providers haven’t invested in the kind of technology that can improve their security posture against the growing legion of threat actors. Gifford Health Care knows this situation well. After learning of a breach at a large nearby university health system—and tens of millions of dollars in fines as a result—Gifford’s security team knew it was time to act before they also found themselves on the receiving end of a devastating cyberattack.
The Solution
Gifford began exploring its options for working with a third-party security operations provider. It wanted to enhance its security posture, get more insight into its network, and find the right solutions to make the healthcare organization as secure as possible. Gifford’s security team looked at a variety of cybersecurity solutions and narrowed the field to Arctic Wolf and two category competitors. While Gifford’s security team found each solution’s capabilities relatively comparable, Arctic Wolf’s security operations solutions stood out for its concierge-level service, the Arctic Wolf team’s openness to questions, and overall proactive approach to fortifying the network. For example, during the evaluation process, Gifford discovered the other solutions limited the number of incidents by type, as well as specified the number of reports it would receive. In contrast, the Arctic Wolf solution didn’t impose those limits. Given the small security team at Gifford, having a potential partner that encouraged conversational engagement provided the team with needed assurance. Lacking the capacity to check everything all the time, the Gifford team wanted a partnership built on consultation and prioritization—and, most of all, trust.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.
