Vectra AI Inc. Case Studies Australian Private Health Fund Gains Full Visibility Using Vectra
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Australian Private Health Fund Gains Full Visibility Using Vectra

Vectra AI Inc.
Analytics & Modeling - Machine Learning
Cybersecurity & Privacy - Network Security
Healthcare & Hospitals
Business Operation
Condition Monitoring
Cybersecurity
System Integration
The Australian Private Health Fund was facing a challenge with their existing cybersecurity solution, Darktrace. The number of alerts they were receiving was overwhelming and they needed a solution that would reduce these alerts and increase visibility across their hybrid environments. They were looking for a solution that would not only protect against external threats but also spot unusual employee behavior that could lead to vulnerabilities. The organization wanted to ensure the cyber wellness of their members and prevent any risk of their information being compromised in a cyberattack.
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The customer is an Australian Private Health Fund that has been operating as a non-profit company for nearly 50 years. Their main focus is on making healthcare stress-free for their members. They are proactive in their approach to cybersecurity, prioritizing visibility across their organization's environment to ensure the cyber wellness of their members. They are committed to ensuring that their members' information is not compromised in a cyberattack. The organization uses the Vectra AI-based network detection and response platform to leverage real-time threat detections and gain a clear understanding of any potential threat activity or security incident.
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The Australian Private Health Fund selected Vectra as their preferred network detection and response (NDR) solution. Vectra's AI-based platform was chosen for its ability to monitor hybrid environments, increase visibility, and reduce unnecessary alerts. The platform uses AI machine learning models to deliver real-time attack visibility and make attack details easily accessible. The security team found that the threats Vectra places in high priority align with what they would consider critical as a business, reducing alert fatigue. They also deployed Detect for O365 to monitor their O365 environment. Detect for Office 365 applies AI-derived machine learning algorithms to proactively detect and respond to hidden cyberattackers and stop data breaches.
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The organization now receives 80% less critical alerts, reducing alert fatigue.
They can combine on-prem packet data that they were watching with the cloud data, increasing visibility.
They have a deeper understanding of each anomaly and increased level of confidence in their information security.
80% reduction in critical alerts.
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