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Top 1 Network Detection and Response Software Companies $100M+ Revenue (November 2026)

As of November 2026, Latka tracks 1 network detection and response software companies with $100M+ in annual revenue. They have combined revenues of $120M and employ 666 people. They have raised $266M.

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.

Companies
1
Revenue
$120M
Funding
$266M
Employees
666

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Top Network Detection and Response Software Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1Vectra AI logo
Vectra AI

San Jose, California, United States

Vectra AI is the leader in AI driven extended detection and response (XDR). The Vectra AI Platform delivers integrated signal across network, identity, cloud, SaaS, and Gen AI in a single platform. Vectra AI’s patented Attack Signal Intelligence empowers security teams to rapidly detect, prioritize, investigate and stop the most advanced hybrid cyber-attacks. With 35 patents in AI-driven detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI Platform and MDR services to move at the speed and scale of hybrid attackers. For more information, visit vectra.ai.

Revenue
$120M
Year founded
2011
Funding
$266M
Team size
666

Frequently asked questions about Network Detection and Response Software Companies $100M+ Revenue

How many network detection and response software companies with $100M+ in annual revenue are there?

Latka tracks 1 network detection and response software companies with $100M+ in annual revenue. Together they generate $120M in annual revenue and employ 666 people.

Which network detection and response software company with $100M+ in annual revenue is the largest?

Vectra AI is the largest, with $120M in annual revenue, founded in 2011.

How much revenue does a typical network detection and response software company with $100M+ in annual revenue make?

The average network detection and response software company in this list makes $120M a year, across 1 companies with reported revenue.

Who are the leading Network Detection and Response software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are Vectra AI.

How much funding have network detection and response software companies with $100M+ in annual revenue raised?

The 1 network detection and response software companies with $100M+ in annual revenue tracked here have raised $266M in disclosed funding between them.

Related Security Software categories

All Security Software SaaS categoriesEvery category we track inside Security Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Network Detection and Response to everything else.

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.