Pennine Care NHS counts on Vectra to stop cyberattacks
Customer Company Size
Large Corporate
Region
- Europe
Country
- United Kingdom
Product
- Vectra Cognito Platform
Tech Stack
- AI and Machine Learning
- Cloud/SaaS
- Network Detection and Response (NDR)
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
Technology Category
- Cybersecurity & Privacy - Network Security
- Analytics & Modeling - Machine Learning
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Use Cases
- Cybersecurity
Services
- System Integration
- Testing & Certification
About The Customer
Pennine Care NHS Foundation Trust is a healthcare organization based in northern England. Since 2002, it has provided vital mental health and learning disability services in parts of Greater Manchester and Derbyshire. The organization is part of the National Health Service (NHS) trusts, which were victims of the 2017 WannaCry ransomware attack that affected more than 150 countries and disrupted a third of NHS operations. Following this attack, Pennine Care NHS Foundation Trust, like other NHS trusts, has stepped up its security measures to identify and stop future cyber threats.
The Challenge
Pennine Care NHS Foundation Trust, a provider of mental health and learning disability services in parts of Greater Manchester and Derbyshire, was faced with the challenge of protecting its operations from cyber threats. This became a priority after the 2017 WannaCry ransomware attack that disrupted a third of NHS operations. Although no patient data was compromised and the attack was stopped from spreading, all NHS trusts have since stepped up security to identify and stop future cyber threats. ICT security manager Rizwan Majeed was entrusted to protect Pennine Care NHS from cyber threats. He began to evaluate potential solutions, including network detection and response (NDR).
The Solution
After observing how another facility, Bolton NHS Foundation, deployed the Cognito® platform from Vectra® to identify and stop cyberattackers in real time, Majeed decided that this was the optimal NDR solution for Pennine Care NHS. Cognito Detect applies AI-derived machine learning algorithms to automatically detect and respond to in-progress cyberattack behaviors in cloud/SaaS, data center, IoT, and enterprise networks. The platform prioritizes attack behaviors that pose the greatest risk with the highest degree of certainty, enabling Majeed to immediately determine where to start remediation, hunting, and investigating. To further reduce time and resources, Cognito Detect rolls-up multiple alerts into a single incident or attack campaign for investigation. AI-based machine learning automatically ties related threats into one chain of connected events. AI-driven Cognito Recall is a cloud-hosted investigative workbench that uses security-enriched metadata for more productive threat hunting and conclusive incident investigations.
Operational Impact
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
Cloud-based healthcare solution for Royal Philips
Royal Philips wanted to launch its cloud-based healthcare solution HealthSuite Digital Platform in China to deliver services to help cope with challenges related to urbanization and population growth. Philips wanted to achieve this goal by combining mobile, cloud computing and big data technologies. To bring this platform and product to market, Philips required cloud computing and local technical service capabilities in China, in addition to a flexible IT infrastructure that could handle user requests.
