NDR

Hyperscale Inline Network Protection for AI Datacenters, Edge, and Hybrid Cloud

Protect your network with an autonomous, distributed security engine powered by self-learning AI — detecting and stopping threats across cloud, edge, and hybrid environments in real time.

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Unmatched Performance with Inline, Distributed, AI-Native Architecture

AI-Based Inline Defense

Built for enterprise-scale networks, AI EdgeLabs NDR delivers real-time detection and response without draining resources or degrading performance.
Distributed, Software-Based

Every packet, in every environment — cloud, edge, or hybrid — is analyzed inline with a lightweight, software-only footprint. No appliances required.
Zero Policy Tuning

The unified agent deploys in minutes with no reboots, manual updates, or complex tuning — delivering immediate protection at scale.
Enhanced Visibility

Deep insight into network traffic, anomalies, DNS flows, lateral movement, and exfiltration attempts.
Unprecedented Performance

Inline packet analysis at 50+ Gbps with sub-millisecond latency and <2% CPU overhead.
Energy-Efficient

Optimized for line-rate efficiency with minimal CPU and RAM impact.
Lower TCO

No hardware footprint, bandwidth-aware design, simplified operations, and automated workflows dramatically cut cost and complexity.

At the Edge of Modern AI-Scale Computing

DPDK-Based Agent to Defend on The Fly

Kernel-Based Agents: Broader Protection

DPDK-Based Agent to Defend on The Fly

Detect and respond to threats in real time on extreme levels of bandwidths based on DPDK Agent. Solution provides Kernel-offloaded processing every packet, and analysis network data, neutralizing, DNS, DoS, and multi-vector threats in Data Planes.

50+ Gbps threat detection capabilities

User-space traffic analysis

Realtime automated threats detection

Low CPU Overhead on extremely high bandwidth levels

Each network packet audited for threats and anomalies

Kernel-Based Agents: Broader Protection

Deep network visibility based on Kernel-based network threats detection. Network security for workloads, containers and Edge and Cloud hosts. AI-based threat detection mechanisms that precisely automates protection against network threats.

Up to 48 network interfaces supported concurrently

Low footprint to CPU / RAM. Less than 5% and less than 250Mb

Protect Kubernetes-based networking

See What AI EdgeLabs Can Do

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AI EdgeLabs Shortlisted for Security Excellence Awards 2023

Generative AI to Prevent Tomorrow’s Threats. Today.

Your most critical data flows through the network at AI scale. Protect it with real-time, inline, autonomous AI defense — built for datacenters, edge, and hybrid cloud.

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