Kubernetes and container workloads change too fast for the rule-based scanners that legacy endpoint and posture tools rely on, leaving security and platform teams buried in alerts that do not separate exploitable risk from noise. ARMO answers this with a runtime-driven cloud-native application protection platform: an eBPF sensor learns each application's normal behaviour to detect and respond to anomalous activity, paired with agentless cloud posture scanning and runtime-prioritized vulnerability management, all built on the open-source Kubescape engine.
It differs from closed platforms such as Aqua Security and Sysdig chiefly on an open-source-anchored, self-hostable engine and on ease of use, where independent scoring places it ahead on portability and cost of ownership, while those peers still lead on detection breadth and policy enforcement. That position serves buyers already running the free Kubescape project who want enterprise runtime protection without lock-in, and it extends across SaaS, on-premises, and air-gapped deployments.
