AI EdgeLabs - Platform

AI EdgeLabs Linux-based
Unified Security Platform
To Protect Distributed Era

AI EdgeLabs is a groundbreaking security platform designed to defend modern,
AI-scale distributed Edge data centers, hybrid cloud and Linux workloads.

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Why AI EdgeLabs?

Autonomous
Response

We detect and neutralize threats at the workload layer — with no SOC, no policy setup, and no cloud dependency. Our agents act locally in real time.

Built for GPU, Edge & Sovereign AI

Designed for GPU clusters, telco nodes, inference workloads, sovereign environments - wherever your AI runs, we protect it.

Cloud-Optional, Always-On Protection

Unlike cloud-native tools, our agent continues to operate fully offline, with local enforcement and optional cloud dashboards for analytics and AI-generated playbooks.

eBPF + DPDK for Wire-Speed Performance

Our architecture combines eBPF, Falco, and DPDK to secure workloads at 50 Gbps+ throughput with <10µs latency and <25% CPU footprint.

Kubernetes-Native & Container-Ready

Deploys in minutes on K8s clusters, containers, inference pipelines, and edge devices. No policy bloat. No central config hell.

OEM & Partner-Ready

Secure-by-design, embeddable, and white-label ready — built for integration into GPUaaS, HPC, hybrid cloud, telco edge, AI infra, and OEM hardware offerings.

How Does AI EdgeLabs Work?

Enterprise-grade AI EdgeLabs platform, powered by runtime enforcement, lightweight AI agents, and sovereign-by-design architecture, enables infrastructure and security teams to prevent, detect and stop threats and cyberattacks in real-time at scale, with higher accuracy and minimum system impact, preserving reliability, throughput and utilization.

Lightweight Agent Deployed at the Node

Containerized agent is installed directly on GPU clusters, edge devices, inference nodes, or cloud workloads. No policy setup or external orchestration required.
Designed for high-performance environments (Kubernetes, uCPEs, GPUaaS, etc.)

Inline Threat Prevention, Detection & Autonomous Response

Our agent blocks, isolates, or quarantines threats autonomously — without needing to “phone home.”
Enforces runtime policies locally — even in air-gapped or disconnected deployments.
Response is instant — at the node level, not delayed by cloud console lag.
Threats are blocked where they occur — without SOC intervention.

Cloud Dashboard for Visibility, Playbooks & Compliance

While detection and response are local, the cloud dashboard enables:
Fleet-wide visibility
AI-generated playbooks
Compliance reporting (e.g., PCI DSS, HIPAA, CRA, NIS2)
Threat forensics & audit logs

Kernel-Level Runtime Monitoring with eBPF + Falco

Monitors syscalls, process behavior, container activity, and file/network events in real time.
Built on the Falco framework and extended with custom runtime detection logic.
Uses eBPF for safe, low-overhead visibility.

High-Speed Packet Inspection with DPDK

Agent can inspect up to 50 Gbps of network traffic per node using DPDK.
Supports detection of lateral movement, DNS tunneling, and data exfiltration in real-time — not in logs.
Ideal for GPU workloads, video inference, or high-throughput environments.

Immediate Setup, Seamless Operation

Agent & agentless deployments

Run as a container on Kubernetes clusters, cloud instances, bare metal, VMs, or any modern Linux environment.

Serves single- and multi-tenant

Environments, with support for inline enforcement across control planes, worker nodes, HPC jobs and GPU workloads.

No Open Ports Required

Platform does not require open ports/firewall settings or other exposures before installing

Host-Local Data Processing

Network verification and data pipelines on the host only with minimal transfer to the cloud

AI EdgeLabs Architecture

Edge Datasources

Network : pcap/dpdk

System Calls from eBPF

Kuberentes metadata

SBOM & configuration data

Installed Software Checks

3rd Party datasources

Detection

Ransomware / Malware

Dangerous Kernel Events

Advanced Persistent Threats

Vulnerabilities inside Host and Containers

Network Attacks and Anomalies

Host-based Security Misconfigurations

Exploitation Attempts

Container and Kubernetes Security

AI Agent

AI Detection

Syscalls/ eBPF Analysis

Behavioural Models

Prevention Playbooks

Vulnerability Scanning

YARA Rules

Autonomous Remediation Playbooks

Human-in-the-loop AI-based remediation

Malware Quarantining

Vulnerability Exploitation evaluation and Remediation Steps

Network Attack Blocking (IPS)

Response

Security Portal

Remediation

Compliance

Risk Scoring

Incidents Tracking

Holistic Observability and Security

Platform Key Features

Explore now

From Detection to Prevention

AI EdgeLabs goes beyond detection. With automatic incident remediation, our platform not only identifies threats but also takes immediate action to neutralize them, minimizing downtime and damage.

Cyber Intelligence from Cloud to Mini Server

AI EdgeLabs goes beyond detection. With automatic incident remediation, our platform not only identifies threats but also takes immediate action to neutralize them, minimizing downtime and damage.

Secure. Seamless. Scalable

Designed for Linux-based operating systems, AI EdgeLabs Agent runs on popular container runtimes like Podman, Docker, and Kubernetes. Our flexible deployment options ensure smooth integration into your existing infrastructure.

Future-Proof Your Eco-systems Today

Stay ahead of cyber threats with AI EdgeLabs. Harness the power of AI-driven security for your IoT and edge, ensuring robust, reliable protection for your remote devices.

AI EdgeLabs In Action