AI-native, autonomous runtime protection for GPU, edge, hybrid cloud and sovereign environments
— built to secure regulated AI workloads in real time, even where CNAPPs can’t reach.
Protect AI Infrastructure and Workloads
on The Fly
Protect AI Infrastructure and Workloads
on The Fly
AI EdgeLabs spans network, kernel and container with only one single AI Agent and zero policy tunning -
keeping you ahead of zero-days with unmatched speed and precision.
Autonomous
Operates autonomously, even offline or air-gapped - ideal for regulated and sovereign
environments
AI Defense
Inline detection at line rate (50+ Gbps) with sub-millisecond response.
Lightweight
Operates on limited CPU/OS capacity, <1GB RAM, 1CPU Core — preserving GPU/AI performance at
scale
Extremely Scalable
Master-node architecture secures 50–500 workloads per agent - scaling securely to thousands of
sites
in minutes
Bandwidth-savvy
AI EdgeLabs' solution is engineered for low network traffic consumption, using only up to 300Mb
of
network traffic per month
End-to-end
End-to-end protection — meeting NIS2 and ISO/IEC 62443 requirements
See Ultra-Light, Compliance-Ready Runtime Security
Perimeter controls don’t protect what’s running. CNAPPs can’t see inside containers in real time.
Today’s enterprises operate across fragmented environments — from
GPU-accelerated clusters to edge nodes and sovereign zones.
Compliance mandates are rising. Latency budgets are shrinking.
And yet most cloud-native security tools rely on cloud consoles, post-facto alerts, and disconnected
controls.
If your workloads need real-time security, offline resilience, or inline response, the CNAPP stack won’t cut
it.
Numbers That Say More, Than Words
1000+
sensors deployment
in one-click
1-10sec
time for detection
and protection
99%
accuracy of threat detection and response
0.1-1sec
time for EDR threats detection
Agent-Based. AI-Native. Everywhere
By leveraging agent-based architecture, AI EdgeLabs delivers real-time detection and response from inside
the workload, not around it. Our ultra-light, containeraized AI agent run at the kernel and packet level -
enabling:
Network Detection
and Response
Kernel Detection and
Response
Kubernetes & Container
Security
Vulnerability Management
AI Security Assistant
AI-Generated Actionable
Playbooks
Network Detection and Response
Continuous network monitoring, threat detection, and automated response to network-based threats,
utilizing advanced AI and ML techniques
Full compatibility with GPU, K8s, and edge nodes.
Whether you’re securing AI/ML pipelines, telco edge deployments, or regulated smart infrastructure —
AI EdgeLabs acts as your real-time defense layer, where you can't wait for SOCs or cloud alerts
Environment
GPUaaS / AI Model Training
Distributed AI Environments / Edge AI
Regulated Cloud & On-Prem
Sovereign / Disconnected
Federated AI Pipelines
AI EdgeLabs Secures It
Runtime model integrity + agent-level visibility
Inline agent on traffic controllers, routers
NIS2 / CRA / HIPAA compliance at runtime
Works offline, autonomous local enforcement
Container-level defense with no cloud hook
Future-Prove Your Enterprise with Innovative Agentic AI Cybersecurity
Unprecedented Operational Efficiency
Automation of security processes, reducing the need for manual intervention and allowing
security teams to focus on more strategic tasks.
Cost Reduction
By preventing security incidents and reducing the need for manual monitoring, AI EdgeLabs
helps organizations save on operational costs. No data tax, no traffic overheads.
Real-Time Monitoring & Response
Providing continuous monitoring of networks and systems, ensuring that threats are
identified and mitigated promptly.
Data-Driven Insights
AI EdgeLabs utilizes AI and machine learning to provide actionable insights based on data
analysis, helping organizations make informed decisions.
Compliance
Helping businesses meet regulatory requirements for HIPAA, NIS2, CRA, ISO/IEC 62443, PCI
DSS, FedRAMP and NIST frameworks by ensuring data protection and security measures are in
place.
Significantly Reduced Downtime
By preventing cyber-attacks and quickly responding to incidents, AI EdgeLabs minimizes
downtime and maintains business continuity.
