Top 0 Network Detection and Response Software Companies $100M+ Revenue (September 2026)
As of September 2026, Latka tracks 0 network detection and response software companies with $100M+ in annual revenue.
Every company below sells network detection and response software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Network Detection and Response Software Companies do
Network Detection and Response (NDR) software is a category of cybersecurity tools designed to identify and respond to threats within a network. It leverages advanced machine learning algorithms and behavioral analysis to monitor network traffic, detect anomalies, and identify suspicious activities in real-time. NDR is essential for organizations looking to enhance their security posture against both known and unknown threats and is especially valuable in environments with complex and dynamic architectures. Typical features of NDR software include continuous network monitoring, incident response capabilities, automated threat detection, and forensic analysis tools. Buyers of NDR solutions are often IT security teams, network administrators, and compliance officers who seek to minimize the risk of data breaches and ensure regulatory compliance. Use cases range from monitoring user behavior, detecting lateral movement of threats, to securing Internet of Things (IoT) devices connected to the network.
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Top Network Detection and Response Software Companies $100M+ Revenue
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Related Security Software categories
Inclusion Criteria
- Must provide continuous network monitoring and analysis capabilities. - Must utilize machine learning for threat detection and anomaly identification. - Should include incident response tools for managing identified threats. - Must be able to handle real-time data for immediate threat detection. - Not just limited to detecting known threats; must also identify unknown or evolving threats.