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Find out what your peers are saying about Darktrace, TrendAI, Vectra AI and others in Network Detection and Response (NDR).

| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 10 |
| Large Enterprise | 29 |
LogRhythm NDR is a network security solution for detecting, qualifying, investigating, and responding to advanced network-borne threats. It provides the speed and full network visibility needed to combat attacks across your on-premise, remote, and cloud environments.
The solution surfaces these threats through centralized, machine-based analysis of network traffic, including TTP scenario-based modeling, IOC signature-based inspection, and behavioral analysis.
LogRhythm NDR leverages the power and capabilities of the LogRhythm NextGen SIEM platform, including patented and award-winning security analytics and embedded SOAR functionality.
LogRhythm NDR has enabled customers to successfully catch, investigate, and respond to an array of threats such as low and slow data leaks, compromised servers used in lateral attacks, privileged user reconnaissance within internal networks, and SCADA attacks.
Vectra AI offers advanced hybrid network and identity security, detecting threats traditional tools miss. It uses AI to identify lateral attacks and credential misuse, providing a proactive defense for enterprises.
Vectra AI enhances security by using AI-driven detection across network, cloud, and identity layers, surpassing EDR and SIEMs by offering real-time threat detection. It ensures continuous observability and automates SOC workflows to minimize manual efforts, creating an efficient security environment. Its AI-powered approach significantly reduces noise, focusing on true threats, and provides insights into complex threat landscapes, with seamless integration into environments like EDR and Office 365.
What are Vectra AI's key features?Vectra AI is utilized across industries for comprehensive network and anomaly detection. Organizations deploy it for threat hunting and incident response, monitoring both on-premises and cloud activities. By placing sensors across sites, they optimize security practices and streamline their detection processes.
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