AI Runtime Platform for GPU, Edge & Cloud-Native Security
AI-native, autonomous runtime protection engineered to meet NIS2 and CRA, securing regulated AI workloads in real time where CNAPPs fall short.
Supercharge Your SOC with AI Security Assistant and AI-Generated Playbooks
Case Study: Safeguarding Urban Infrastructure: Rekor's Cybersecurity Journey with AI EdgeLabs
Securing a GPU Cloud Computing Service Against Sophisticated Cyber Attacks
Trusted by Innovators, Chosen by Leaders.
Read our case studies
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 AI Runtime Platform
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
Built for Modern AI Superintelligence
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
Agent-Based. AI-Native. Automated
Out-of-the-box CRA/NIS2 mapping with unified risk scoring, host-level checks, and instant coverage visibility.
Network Detection and Response
Endpoint Detection and Response
Kubernetes & Container Security
Vulnerability Management
AI Security Assistant
AI-Generated Playbooks
Compliance Center
Endpoint Detection and Response
Kernel-level eBPF monitoring ensures zero-day detection with <1s response
Network Detection and Response Endpoint Detection and Response Kubernetes Vulnerability Management AI Assistant AI Generated playbooks Compliance Center
Future-Proof 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.
Real-Time Monitoring & Response
Providing continuous monitoring of networks and systems, ensuring that threats are identified and mitigated promptly.
Significantly Reduced Downtime
By preventing cyber-attacks and quickly responding to incidents, AI EdgeLabs minimizes downtime and maintains business continuity.
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.
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.
Award-Winning
Innovation
and Unmatched
Excellence
Embedded Award Image
CyberTech Award Image
TOP-100 EdgeComputing Company Award Image
Staying Ahead Together
Revolutionize Your Security. Transit to AI Future.