Find out in this report how the two Network Detection and Response (NDR) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Securing your network against advanced persistent threats (APTs) requires greater visibility to detect actors and their actions so that you can reduce your response time. As threats increase, real-time network detection and response (NDR) solutions are more critical than ever.
While other NDR solutions rely solely on machine learning (ML) based threat detection, LogRhythm uses hybrid analytics that combine machine learning, rules-based detection, and threat intelligence to analyze network, user, and host activity. This holistic approach provides a true representation of all activity within the enterprise domain, making it possible to detect lateral movement, exfiltration, malware compromise, ransomware, and other threats in real time.
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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