ARMO

About ARMO

ARMO provides a runtime-driven cloud security platform that utilizes eBPF-based sensors to continuously monitor application behavior and enrich security insights with Kubernetes context. This approach minimizes the cloud attack surface and reduces alert fatigue by prioritizing and automating the remediation of actual security risks in cloud-native environments.

```xml <problem> Cloud-native environments face increasing security threats due to their complexity and dynamic nature. Traditional security tools often lack the necessary context and real-time visibility into application behavior, leading to alert fatigue and delayed remediation of actual risks. Existing solutions struggle to effectively minimize the cloud attack surface and prioritize security efforts based on runtime insights. </problem> <solution> ARMO provides a runtime-driven cloud security platform that leverages eBPF-based sensors to continuously monitor application behavior and enrich security insights with Kubernetes context. The platform delivers comprehensive cloud visibility and risk prioritization through agentless scanning, minimizing the cloud attack surface. By correlating runtime data with threat intelligence, ARMO helps security teams focus on and automate the remediation of actual security risks in cloud-native environments. The platform offers features such as Kubernetes Security Posture Management (KSPM), Cloud Applications Detection & Response (CADR), runtime-based vulnerability management, and continuous cloud security posture management (CSPM). </solution> <features> - Runtime protection and threat detection based on anomaly behavior analysis powered by eBPF sensors - Runtime reachability analysis to prioritize critical vulnerabilities and reduce CVE-related work - Agentless scanning for comprehensive cloud visibility and risk assessment - Kubernetes Security Posture Management (KSPM) for securing registries, clusters, and images - Cloud Applications Detection & Response (CADR) for zero-day and everyday protection - Continuous Cloud Security Posture Management (CSPM) for detecting and remediating cloud risks across multi-cloud environments - Integration with Kubescape, an open-source Kubernetes security tool, for IDE, CI/CD pipelines, and clusters </features> <target_audience> The primary target audience includes DevOps and security teams responsible for securing cloud-native applications and Kubernetes environments, as well as organizations seeking to minimize their cloud attack surface and automate security remediation. </target_audience> ```

What does ARMO do?

ARMO provides a runtime-driven cloud security platform that utilizes eBPF-based sensors to continuously monitor application behavior and enrich security insights with Kubernetes context. This approach minimizes the cloud attack surface and reduces alert fatigue by prioritizing and automating the remediation of actual security risks in cloud-native environments.

Where is ARMO located?

ARMO is based in Tel Aviv, Israel.

When was ARMO founded?

ARMO was founded in 2020.

How much funding has ARMO raised?

ARMO has raised $34.5M.

Location
Tel Aviv, Israel
Founded
2020
Funding
$34.5M
Employees
66 employees
Investors
Tiger GlobalAquilineHyperwisePitango

ARMO

10
Relative Traction Score based on online presence metrics compared to companies in the same age group.

Executive Summary

ARMO provides a runtime-driven cloud security platform that utilizes eBPF-based sensors to continuously monitor application behavior and enrich security insights with Kubernetes context. This approach minimizes the cloud attack surface and reduces alert fatigue by prioritizing and automating the remediation of actual security risks in cloud-native environments.

armosec.io5K+
Founded 2020 – Tel Aviv, Israel

Funding

No specific funding rounds found.

Total Funding

$34.5M

Backed by

AquilineHyperwisePitangoTiger GlobalTiger Global Management

Team (50+)

No team information available.

Company Description

Problem

Cloud-native environments face increasing security threats due to their complexity and dynamic nature. Traditional security tools often lack the necessary context and real-time visibility into application behavior, leading to alert fatigue and delayed remediation of actual risks. Existing solutions struggle to effectively minimize the cloud attack surface and prioritize security efforts based on runtime insights.

Solution

ARMO provides a runtime-driven cloud security platform that leverages eBPF-based sensors to continuously monitor application behavior and enrich security insights with Kubernetes context. The platform delivers comprehensive cloud visibility and risk prioritization through agentless scanning, minimizing the cloud attack surface. By correlating runtime data with threat intelligence, ARMO helps security teams focus on and automate the remediation of actual security risks in cloud-native environments. The platform offers features such as Kubernetes Security Posture Management (KSPM), Cloud Applications Detection & Response (CADR), runtime-based vulnerability management, and continuous cloud security posture management (CSPM).

Features

Runtime protection and threat detection based on anomaly behavior analysis powered by eBPF sensors

Runtime reachability analysis to prioritize critical vulnerabilities and reduce CVE-related work

Agentless scanning for comprehensive cloud visibility and risk assessment

Kubernetes Security Posture Management (KSPM) for securing registries, clusters, and images

Cloud Applications Detection & Response (CADR) for zero-day and everyday protection

Continuous Cloud Security Posture Management (CSPM) for detecting and remediating cloud risks across multi-cloud environments

Integration with Kubescape, an open-source Kubernetes security tool, for IDE, CI/CD pipelines, and clusters

Target Audience

The primary target audience includes DevOps and security teams responsible for securing cloud-native applications and Kubernetes environments, as well as organizations seeking to minimize their cloud attack surface and automate security remediation.

Sources:

1
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