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Top 8 Cloud Detection and Response Software Companies With $10M–$100M Revenue (November 2026)

As of November 2026, Latka tracks 8 cloud detection and response software companies with $10M–$100M in annual revenue. They have combined revenues of $211M and employ 1.2K people. They have raised $655.7M.

Every company below sells cloud 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 Cloud Detection and Response Software Companies do

Cloud Detection and Response (CDR) Software represents a critical segment of cybersecurity solutions focused on safeguarding cloud environments. CDR tools enable organizations to detect, investigate, and respond to security threats in real-time while providing visibility into cloud operations. The primary use cases include identifying abnormal user behaviors, detecting compromised applications, and responding to threats across hybrid or multi-cloud infrastructures. Typical features of CDR software encompass integration with cloud service platforms, advanced threat detection mechanisms using machine learning, automated incident response capabilities, and detailed reporting for compliance and analysis. Common users of CDR solutions include IT security teams, cloud operations, and compliance officers, all of whom aim to enhance their organization’s cloud security posture and minimize risks associated with cloud vulnerabilities.

Companies
8
Revenue
$211M
Funding
$655.7M
Employees
1.2K

Filters

Sorting: Highest -> Lowest

Filters

Top Cloud Detection and Response Software Companies With $10M–$100M Revenue

Showing 8 of 8 companies ranked by annual revenue.

1Panther Labs logo
Panther Labs

San Francisco, California, United States

Panther Labs provides a refreshingly practical platform for threat detection and response, powered by a highly scalable security data lake and detection-as-code. It aims to make security teams smarter and faster than attackers, with a cloud-native architecture and real-time alerts.

Revenue
$56.6M
Year founded
2018
Funding
$139.5M
Team size
267
2Cyberhaven logo
Cyberhaven

Palo Alto, California, United States

Cyberhaven is an AI-powered data security company focused on detecting and preventing data loss, insider threats, and protecting cloud data. They provide data detection and response services, data loss prevention, and insider risk management.

Revenue
$52.4M
Year founded
2016
Funding
$384M
Team size
264
3Astrix Security logo
Astrix Security

Tel Aviv, Israel

Astrix Security is a pioneer of non-human identity security, helping leading enterprises extend IAM and threat detection and response to NHIs since 2021.

Revenue
$25.1M
Year founded
2021
Team size
123
4Guardz logo
Guardz

Tel Aviv, Tel Aviv, Israel

Guardz is a cybersecurity company that develops an AI-native unified detection and response platform to protect small and medium-sized businesses.

Revenue
$22.4M
Year founded
2022
Team size
135
5Cynet logo
Cynet

Boston, Massachusetts, United States

Provider of threat detection and response platform designed to simplify security support. The company's threat detection and response platform initiates sophisticated threat analysis, and targets and remediates unknown threats which have bypassed existing perimeters by collecting indicators on 4 fronts, establishing a baseline and correlating indicators to create a risk ranking, enabling clients to avail all-in-one protection in a cost-efficient way.

Revenue
$21.2M
Year founded
2015
Funding
$78M
Team size
262
6Sweet Security logo
Sweet Security

Tel Aviv, Tel Aviv, Israel

Sweet Security offers a cloud security suite that detects behavioral anomalies and provides actionable insights on incidents. They focus on resilient cloud protection that stops cloud attacks and ensures full-stack security across cloud environments.

Revenue
$11.4M
Year founded
2023
Team size
77
7FirstWave Cloud Technology logo
FirstWave Cloud Technology

North Sydney, New South Wales, Australia

FirstWave Cloud Technology is a world's most adaptive and comprehensive cyber-security platform.

Revenue
$11.3M
Year founded
2001
Funding
$6.6M
Team size
46
8Netography logo
Netography

San Francisco, California, United States

Netography provides a SaaS network detection & response solution to defend against global threats and eliminate blind spots in real-time.

Revenue
$10.6M
Year founded
2018
Funding
$47.6M
Team size
33

Frequently asked questions about Cloud Detection and Response Software Companies With $10M–$100M Revenue

How many cloud detection and response software companies with $10M–$100M in annual revenue are there?

Latka tracks 8 cloud detection and response software companies with $10M–$100M in annual revenue. Together they generate $211M in annual revenue and employ 1.2K people.

Which cloud detection and response software company with $10M–$100M in annual revenue is the largest?

Panther Labs is the largest, with $56.6M in annual revenue, founded in 2018.

How much revenue does a typical cloud detection and response software company with $10M–$100M in annual revenue make?

The average cloud detection and response software company in this list makes $26.4M a year, across 8 companies with reported revenue.

Who are the leading Cloud Detection and Response software vendors with $10M–$100M in annual revenue?

Ranked by annual revenue, the leaders are Panther Labs, Cyberhaven, Astrix Security, Guardz and Cynet.

How much funding have cloud detection and response software companies with $10M–$100M in annual revenue raised?

The 8 cloud detection and response software companies with $10M–$100M in annual revenue tracked here have raised $655.7M in disclosed funding between them.

Related Security Software categories

Inclusion Criteria

- The product must provide real-time threat detection across cloud environments. - It should offer automated incident response capabilities to mitigate detected threats swiftly. - The solution must integrate seamlessly with existing cloud service platforms (e.g., AWS, Azure, Google Cloud). - The product needs to include advanced analytics or machine learning to improve detection accuracy. - It should offer detailed reporting and compliance features for regulatory requirements. - Not just a monitoring tool; must also facilitate automated response to identified threats.