ARMO vs Datadog Workload Protection: Side-by-Side Comparison (2026)

ARMO

Mid-market and enterprise teams with mature Kubernetes environments should choose ARMO for its runtime visibility without the agent overhead. Its eBPF-based monitoring catches post-deployment threats that static scanners miss, while the integrated KSPM and IaC scanning reduce tool sprawl for teams already managing multiple cloud security layers. Fair warning: ARMO prioritizes continuous monitoring and threat detection over compliance reporting, so organizations primarily buying for audit trail generation or regulatory checkbox-filling will find better value in traditional CSPM vendors.

Datadog Workload Protection

Teams already running Datadog for observability will extract the most value from Workload Protection because it eliminates context-switching between security and monitoring telemetry in multi-cloud environments. The tool covers kernel-level and container runtime detection across AWS, Azure, and GCP simultaneously, with anomaly detection that actually flags behavioral drift instead of just logging it. Skip this if you need vulnerability scanning or supply chain security integrated into the same platform; Datadog is explicitly a runtime protection product, not a CNAPP trying to do everything.