AI EdgeLabs NDR vs Mercury: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
AI EdgeLabs NDR is a commercial network detection and response tool by AI EdgeLabs. Mercury is a free network detection and response tool. Compare features, ratings, integrations, and community reviews side by side to find the best network detection and response fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise teams managing cloud and hybrid infrastructure need AI EdgeLabs NDR because it detects lateral movement and data exfiltration in real time without the CPU drag that forces most organizations to compromise on packet visibility. The kernel agent runs in under 5% CPU across 48 concurrent interfaces while maintaining sub-millisecond latency at 50+ Gbps, which means you're not choosing between monitoring depth and operational overhead. Skip this if your priority is incident response automation; AI EdgeLabs prioritizes detection and analysis over post-breach workflows, leaving orchestration to your existing SOAR.
Security teams running flat networks or investigating lateral movement will find Mercury's value in its lightweight metadata capture; the tool costs nothing and requires no agents, making it deployable in minutes across segmented environments where traditional NDR gets blocked by complexity. Its 501 GitHub stars reflect sustained adoption among practitioners who need quick packet context without the overhead of full-packet capture or ML-heavy anomaly scoring. Skip Mercury if your organization needs behavioral baselining or automated response workflows; it's fundamentally a data collection and analysis instrument, not a detection engine.
