ARMO Platform vs Datadog Cloud Workload Protection

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.

Datadog Cloud Workload Protection has no write-up on Specifiction yet; its figures are above.