Datadog Workload Protection vs Oblivious OBLV Deploy: 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.

Oblivious OBLV Deploy

Mid-market and enterprise security teams protecting sensitive workloads across AWS and Azure will find real value in Oblivious OBLV Deploy because it enforces data confidentiality at runtime without forcing application rewrites, a major operational win when you're managing legacy systems. Hardware-backed attestation ensures enclaves haven't been tampered with before they decrypt sensitive data, and real-time access revocation means you can kill a compromised environment instantly rather than waiting for log analysis. The weakness is on the detection side; OBLV Deploy prioritizes prevention and isolation over continuous monitoring of what happens inside the enclave itself, so teams expecting deep forensics on enclave activity will need to layer in additional tooling.