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Top 8 Network Detection and Response (NDR) Software SaaS Companies in May 2026

As of May 2026, there are 8 SaaS companies in Network Detection and Response (NDR) Software. They have combined revenues of $130.6M and employ 1.1K people. They have raised $47.6M and serve - customers combined.

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
8
Revenue
$130.6M
Funding
$47.6M
Employees
1.1K

Filters

Sorting: Highest -> Lowest

Filters

Top Network Detection and Response (NDR) Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
Cynamics

Boston, Massachusetts, United States

Developer of software intended for Smart City, Public Safety and Critical Infrastructure networks. The company offers a scalable, cost-effective network visibility solution, enabling IT and security teams to optimize performance issues and detect threats on smart networks as they emerge and prevent attacks before they occur.

Revenue
$3M
Customers
-
Year founded
2018
Funding
-
Team size
25
Growth
64.39%
2
Synergy Information Systems

United States

A leading Network Monitoring Solutions Company

Revenue
$1.4M
Customers
-
Year founded
-
Funding
-
Team size
13
Growth
-
3
ServicePilot

Pornichet, Pays de la Loire, France

At ServicePilot, we're revolutionizing IT monitoring by offering a comprehensive observability and security platform. Our mission is to integrate data across diverse IT components – applications, servers, containers, databases, networks, mainframes, third-party services and other resources – to achieve complete visibility into your technology stack. 🌟 Why Choose ServicePilot? - Unified Monitoring: Seamlessly monitor everything from servers to containers and networks, all in one place. - Enhanced Observability: Get deep insights into your systems, helping you understand not just what's happening, but why. - Security and NDR: Protect your networks and systems with advanced monitoring. - Proactive Issue Resolution: Our platform helps IT teams anticipate and solve performance issues before they affect your users. - Downtime Reduction: Reliability is key. We assist in maintaining the highest uptime, ensuring your services are always available. - Optimal User Experience: Understand and enhance how customers interact with your services, guaranteeing they always have the best experience. šŸ” Our Approach We believe in a holistic view of IT services. ServicePilot brings together critical operational data from every corner of your IT environment. This integrated approach helps in making informed decisions, faster issue resolution, and strategic planning based on comprehensive data analysis. šŸ¤ Join Our Community Connect with us to stay updated on the latest in observability and learn how ServicePilot is driving innovation in IT monitoring.

Revenue
$1.1M
Customers
-
Year founded
2001
Funding
-
Team size
10
Growth
-

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.