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.
Funding
$34.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TGFounders
Product
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).
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.
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