ARMO Platform vs Upwind Cloud Detection and Response

ARMO Platform is a Kubernetes-focused cloud security platform that uses runtime data to help secure cloud and container environments. It uses eBPF to record application behavior and build an Application Profile DNA baseline enriched with Kubernetes, CI/CD, cloud, and container context. Its coverage includes managed, on-premises, and air-gapped cloud and Kubernetes deployments. Kubernetes security features aim to reduce attack surfaces and continuously harden clusters, containers, hosts, and workloads. Agentless cloud posture management scans configurations and vulnerabilities, supports detection and response, and provides compliance remediation across AWS, GCP, Azure, and other environments. A runtime sensor creates workload SBOMs and identifies components in use; vulnerability prioritization draws on runtime context, EPSS, CISA-KEV, CVSS, exploitability, and fixability. Integrations include developer tools such as VSCode, Kubernetes Lens, GitHub, CircleCI, Jenkins, and Docker Desktop, plus SIEM options including Microsoft Sentinel, Splunk, Sumo Logic, and Webhook. Customers can use ARMO hosting, a private tenant in their cloud, or an on-premises installation. Pricing depends on vCPUs and other cloud resources, and a 21-day trial is listed.

Upwind Cloud Detection and Response is a web-based security service for monitoring threats across multiple cloud environments. Its coverage includes cloud control-plane activity, workloads, identities, and containers. Control-plane detection addresses management-layer activity, while workload detection focuses on running workloads. Identity threat detection covers risks involving identities, and container detection covers containerized environments. The service also includes automated response, so detected issues can lead to response actions rather than alerts alone. Upwind presents the product for multi-cloud deployments, making it relevant to organizations with activity spread across more than one cloud provider. The listed platform is web, and the pricing model is paid with pricing available on request. The capability set centers on combining several detection areas with response automation in one service. Buyers can assess whether control-plane, workload, identity, and container visibility match their cloud security scope, then request pricing for their environment.