Find out in this report how the two Network Traffic Analysis (NTA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I am very satisfied with their technical support, rating it nine out of ten.
I would rate support eight out of ten.
They often say that only premium subscribers receive support within one or two hours.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
The license is based on the count of the ports.
Deployment needs improvement; the process is complicated, requiring attention to infrastructure settings and installation of components like the origin application server, platform, close storage, and policy agents.
Ideally, NetFlow should have a robust alerting mechanism.
It should be like a Meraki cloud, where if you are familiar with Meraki devices, you can locate any device directly on the world map.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
provide a rating of nine out of ten
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
The bandwidth indicates the utilization of the devices; if any issue occurs, it triggers an alert for me.
This tool provides insights into top utilization applications or it identifies which circuit or application is consuming the most on the complete one-gig circuit traffic path.
The best feature is customizable reporting, which includes network diagrams and monitoring of various types of bandwidth usage and peak times.
The main feature of Vectra AI that I find valuable is its focus on the user interface and its approximately two hundred algorithms based on artificial intelligence and machine learning.
There are extensive out-of-box detection capabilities.
Vectra AI is used for detecting network anomalies and potential malicious activities, providing visibility into network traffic and enhancing threat detection across environments.
Organizations deploy Vectra AI mainly on-premises with additional cloud components. It helps with compliance, incident response, security monitoring, detecting insider threats, and correlating network events. Vectra AI captures and enriches network metadata, provides detailed dashboards, reduces false positives, and supports cross-environment behavioral analysis to enhance threat detection and prioritization. While valued for its high accuracy and alert aggregation, it has room for improvement in UI/UX, packet management, and integration with SIEMs and other tools. It is noted for expensive pricing and limited proactive threat response features.
What are Vectra AI's most valuable features?In specific industries, Vectra AI is deployed to monitor complex networks and alleviate challenges in threat detection. It is particularly effective in sectors requiring stringent compliance and security measures, offering insights and capabilities crucial for protecting sensitive data and maintaining operational integrity.
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