- Revenue
- $660K
- Year founded
- 2022
- Team size
- 6
Top 4 Cloud Detection and Response Software Companies Under $1M Revenue (September 2026)
As of September 2026, Latka tracks 4 cloud detection and response software companies under $1M in annual revenue. They have combined revenues of $1.5M and employ 14 people.
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
- 4
- Revenue
- $1.5M
- Funding
- -
- Employees
- 14
Filters
Sorting: Highest -> Lowest
Top Cloud Detection and Response Software Companies Under $1M Revenue
Showing 4 of 4 companies ranked by annual revenue.
2
AiDETECT
港区, 東京都, Japan
AiDETECT monitors user activity within your most sensitive clinical applications, identifying suspicious user behaviors and providing actionable intelligence to compliment your existing cybersecurity framework. AiD is a Saas solution that utilizes AI and ML to protect your Healthcare business operations and is: ◉Smart ◉Simple to deploy ◉Cost effective
- Revenue
- $330K
- Year founded
- 2022
- Team size
- 3
3
EchoTrail
Denver, Colorado, United States
EchoTrail is a Colorado company offering software tools for the cyber security industry, particularly tools that help cyber analysts detect and respond to targeted threats faster and more efficiently. We value tools that provide deep insights and capabilities in the simplest manner possible. Check out our new insights tool at https://www.echotrail.io/insights
- Revenue
- $330K
- Year founded
- 2018
- Team size
- 3
- Revenue
- $220K
- Year founded
- 2024
- Team size
- 2
Frequently asked questions about Cloud Detection and Response Software Companies Under $1M Revenue
How many cloud detection and response software companies under $1M in annual revenue are there?
Latka tracks 4 cloud detection and response software companies under $1M in annual revenue. Together they generate $1.5M in annual revenue and employ 14 people.
Which cloud detection and response software company under $1M in annual revenue is the largest?
Matano is the largest, with $660K in annual revenue, founded in 2022.
How much revenue does a typical cloud detection and response software company under $1M in annual revenue make?
The average cloud detection and response software company in this list makes $385K a year, across 4 companies with reported revenue.
Who are the leading Cloud Detection and Response software vendors under $1M in annual revenue?
Ranked by annual revenue, the leaders are Matano, AiDETECT, EchoTrail and CloudPeek AI.
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.