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International Private Healthcare Group Achieves Real-Time Threat Detection
Technology Category
- Analytics & Modeling - Real Time Analytics
- Cybersecurity & Privacy - Network Security
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
Use Cases
- Cybersecurity
- Intrusion Detection Systems
Services
- Cybersecurity Services
The Challenge
The international private healthcare group, with over 100 hospitals and clinics globally, was facing challenges in timely detection and effective management of active cyberattacks. The healthcare industry is a prime target for cybercriminals, who use advanced attack techniques and tools. These criminals often target patient records that contain substantial amounts of private and sensitive information. In addition to the risk of data loss, ransomware attacks have the potential to disrupt and deny control over key digital services like biomedical devices and vital systems, putting the provider and the safety of patients at risk. The healthcare group realized that its existing cybersecurity protections were not enough to quickly spot and manage attacks, given the rapidly evolving threat landscape.
About The Customer
The customer is an international private healthcare group that operates more than 100 hospitals and clinics globally. The organization is committed to delivering patient care centered around science-based knowledge and expertise, innovative technology, and empathetic clinicians. However, it has been facing challenges in ensuring that its operations, data, and patients are protected from the growing threat of cybercrime. The healthcare group has been a favorite target for ransomware attacks, in which all healthcare data on the network is encrypted until a ransom is paid. Cybercriminals also attempt to disrupt clinical services by exploiting backdoors in vulnerable internet-of-things (IoT) medical devices such as imaging systems, drug infusion pumps, monitors, and pacemakers.
The Solution
To narrow its detection window and accelerate incident response, the organization identified the Cognito network detection and response platform from Vectra. Cognito uses artificial intelligence to automate the hunt for hidden cyberattacks inside networks, data centers, and the cloud, and detects active threats in real time with always learning behavioral models. It provides high-fidelity visibility into the entire network as well as all applications, operating systems, and devices, including BYOD and IoT. The security team also valued Cognito’s ability to automatically prioritize detected threats that pose the highest risk, correlate threats with hosts that are under attack, and provide unique context about what attackers are doing and where they are hiding. Cognito easily integrates with next-generation firewalls, endpoint detection and response, and other enforcement points to automatically block unknown and customized cyberattacks.
Operational Impact
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