Find out what your peers are saying about Microsoft, CrowdStrike, SentinelOne and others in Identity Threat Detection and Response (ITDR).
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
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.
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 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.
Axiad Conductor offers a user-friendly platform for managing multifactor authentication and credential lifecycle, supporting seamless transitions to cloud environments for enhanced security compliance and access control.
Axiad Conductor stands out with intuitive management of multifactor authentication systems, assertive device lifecycle management, and a managed cloud solution that streamlines operations. It promotes user self-service for credential updates, minimizing the need for extensive training. With the capability to handle large networks, it enhances efficiency while meeting contract demands. Addressing user suggestions, plans include interface design updates and Canadian hosting, although macOS's frequent updates pose integration challenges.
What are the principal features of Axiad Conductor?
What should users look for in terms of ROI and benefits?
In diverse industries, Axiad Conductor is implemented to manage multifactor authentication and PKI elements like smart cards and YubiKeys. Organizations leverage it to ensure compliance, facilitate secure workforce access, and transition PKI systems to the cloud, handling substantial volumes of smart card and machine certificates with ease.
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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