NDR

Network Security

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.

Schedule Demo

Host Risk Visibility and Control

Real-Time Network Monitoring

Continuously inspects traffic across multiple network interfaces simultaneously, providing deep visibility into network behavior at line speed.

Host-Local AI Detection

AI and ML models run directly on edge and host systems, enabling local threat detection without external lookups or added latency.

Automated Attack Blocking (IPS)

Automatically blocks high-severity threats using Linux-native controls (iptables, ipset) or high-performance DPDK-based enforcement when required.

Network Vulnerability Detection

Identifies network-level weaknesses and exposure points that could be exploited by active attackers.

Advanced Attack Detection

Detects and prevents a wide range of network attacks, including DoS, spoofing, scanning, and DNS-based threats.

Network Context Discovery

Uses ARP, DNS, and DHCP analysis to discover assets, understand traffic context, and improve detection accuracy across dynamic environments.

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

Explore More Resources

Article · 2 Dec 2025

Why NIS2 & CRA Change the Game for Edge & AI Security

Article · 31 Jul 2024

Ebury Malware: A Hidden Threat to Linux Servers and How AI EdgeLabs Can Protect You

Article · 6 Sep 2023

Edge Security Challenges in the Oil and Gas Industry

Article · 10 Aug 2023

Distributed Edge Systems at the Threat

Article · 14 Apr 2023

We are shortlisted in Security Excellence Awards 2023

Article · 31 Oct 2022

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.

First Name *

Last Name *

Company *

Position *

Business email *

Phone *

Country *

Message *