AI EdgeLabs NDR vs Hyprfire Firebug: Side-by-Side Comparison (2026)

AI EdgeLabs NDR: AI-native NDR for cloud, edge, and hybrid network threat detection. built by AI EdgeLabs. Core capabilities include Inline packet analysis at 50+ Gbps with sub-millisecond latency, DPDK-based agent with user-space traffic analysis and kernel-offloaded processing, Kernel-based agent supporting up to 48 concurrent network interfaces..

Hyprfire Firebug: Managed NDR solution delivering network threat hunting via passive traffic metadata. built by Hyprfire. Core capabilities include Passive network traffic metadata ingestion via span port or network tap, Active Noise Filtration (ANF) to reduce alerts to critical priority 1 and 2 events, Daily critical event report and weekly threat summary delivery..

Both serve the Network Detection and Response market but differ in approach, feature depth, and target audience.

AI EdgeLabs NDR differentiates with Inline packet analysis at 50+ Gbps with sub-millisecond latency, DPDK-based agent with user-space traffic analysis and kernel-offloaded processing, Kernel-based agent supporting up to 48 concurrent network interfaces. Hyprfire Firebug differentiates with Passive network traffic metadata ingestion via span port or network tap, Active Noise Filtration (ANF) to reduce alerts to critical priority 1 and 2 events, Daily critical event report and weekly threat summary delivery.

AI EdgeLabs NDR is developed by AI EdgeLabs. Hyprfire Firebug is developed by Hyprfire. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

AI EdgeLabs NDR and Hyprfire Firebug serve similar Network Detection and Response use cases: both are Network Detection and Response tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.