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AI-native NDR for cloud, edge, and hybrid network threat detection.
AI-native NDR for cloud, edge, and hybrid network threat detection.
AI EdgeLabs NDR (Network Detection and Response) is a software-based network security solution that performs inline packet analysis to detect and respond to network threats across cloud, edge, and hybrid environments. The solution uses two distinct agent types: - DPDK-Based Agent: Operates in user space with kernel-offloaded packet processing, supporting 50+ Gbps throughput with sub-millisecond latency and under 2% CPU overhead. Targets threats including DNS abuse, DoS, and multi-vector attacks in data planes. - Kernel-Based Agent: Provides broader network visibility for workloads, containers, and cloud/edge hosts. Supports up to 48 concurrent network interfaces, with a footprint of less than 5% CPU and under 250MB RAM. Includes protection for Kubernetes-based networking. The platform deploys as a lightweight, software-only agent with no hardware appliances required and no reboots or manual updates needed. It monitors network traffic for anomalies, DNS flows, lateral movement, and data exfiltration attempts. Detection and response actions are automated, with no complex tuning required. The solution is designed for enterprise-scale deployments in datacenters, edge computing environments, and hybrid cloud infrastructure.
Common questions about AI EdgeLabs NDR including features, pricing, alternatives, and user reviews.
AI EdgeLabs NDR is AI-native NDR for cloud, edge, and hybrid network threat detection. developed by AI EdgeLabs. It is a Network Security solution designed to help security teams with Anomaly Detection, DNS Security, DDOS.
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