AI EdgeLabs NDR vs Vectra AI Detections: 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..

Vectra AI Detections: AI-driven threat detection platform identifying malicious behaviors across networks. built by Vectra AI. Core capabilities include AI-driven behavioral threat detection, Network traffic and user behavior analysis, Kill chain stage categorization (reconnaissance, lateral movement, C2, exfiltration)..

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. Vectra AI Detections differentiates with AI-driven behavioral threat detection, Network traffic and user behavior analysis, Kill chain stage categorization (reconnaissance, lateral movement, C2, exfiltration).

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

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