Top 7 Endpoint Detection & Response (EDR) Software SaaS Companies in May 2026
As of May 2026, there are 7 SaaS companies in Endpoint Detection & Response (EDR) Software. They have combined revenues of $720.5M and employ 2.5K people. They have raised $1.1B and serve 4.8K customers combined.
Endpoint Detection and Response (EDR) Software is a crucial component of modern cybersecurity strategies that focuses on monitoring and managing endpoint devices. EDR solutions continuously track endpoint activities, collecting data that enables the detection of potential threats such as malware, ransomware, and other forms of cyber-attacks. By leveraging advanced analytics and threat intelligence, these systems offer organizations the ability to respond swiftly to incidents, thereby fortifying their overall security posture.
Typical features of EDR software include real-time monitoring, threat detection, automated responses, and forensic analysis capabilities. The primary workflows involve alerting security teams of suspicious activities, facilitating investigations, and enabling rapid remediation efforts. EDR solutions are primarily utilized by IT security professionals, including security operations center (SOC) analysts, IT administrators, and incident response teams, aiming to safeguard their organization's assets and maintain compliance with security regulations.
SenseOn, founded in 2017, revolutionises cybersecurity with AI-driven NDR, EDR, and XDR solutions. Our platform, developed by cybersecurity experts and former government operatives, automates threat detection and response, protecting against advanced cyber threats like ransomware and data breaches. We aim to simplify and strengthen enterprise security through innovative automation.
Qingteng Cloud Security is a SaaS-based cloud security company focusing on the endpoint adaptive security.
Revenue
$7.5M
Customers
1K
Year founded
2014
Funding
$43.5M
Team size
106
Growth
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Inclusion Criteria
- Product must continuously monitor endpoint devices for suspicious activities.
- Must provide automated response capabilities to detected threats.
- Should include features for forensic analysis to investigate security incidents.
- Must support threat intelligence integration to enhance detection capabilities.
- Not just a detection tool; must also facilitate remediation and response actions.
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