AI EdgeLabs Platform vs Datadog Workload Protection: Side-by-Side Comparison (2026)

AI EdgeLabs Platform

Mid-market and enterprise teams securing GPU and edge workloads will get the most from AI EdgeLabs Platform because it does kernel-level runtime enforcement at scale without requiring SOC triage,the autonomous response actually quarantines malware and blocks network attacks without human approval. Its DPDK-based packet inspection handles 50 Gbps per node while KSPM maps infrastructure-as-code to misconfigurations, covering both detection and response across NIST's Detect and Respond functions. Skip this if you need air-gapped operation to be your primary deployment model; the cloud dashboard is where the product's value lives.

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.