Datadog Workload Protection vs Faddom Cloud Workload Security: Side-by-Side Comparison (2026)

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.

Faddom Cloud Workload Security

Mid-market and enterprise teams managing multi-cloud workloads across AWS, Azure, and GCP will get the most from Faddom Cloud Workload Security because its automatic discovery actually finds shadow assets and maps lateral movement paths before your compliance audit does. The platform covers five of eight NIST CSF 2.0 functions, with particular strength in continuous monitoring and asset management, which means you spend less time on manual inventory work and more on fixing things that actually matter. Skip this if you need CSPM or infrastructure-as-code scanning bundled in; Faddom stays focused on runtime protection and won't try to be your single pane of glass.