EDR

Runtime Endpoint Detection & Response (EDR)

eBPF-powered, AI-driven security—true real-time prevention, detection, and response for workloads, containers, GPU clusters, edge nodes, and critical infrastructure.

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Why AI EdgeLabs Runtime EDR?

Implemented on Rust

AI-based agent with a low system footprint — typically <5% CPU and <250 MB RAM — delivering a high level of protection with minimal overhead.

Immediate Outputs

AI EdgeLabs unifies signatures, ML, and self-adaptive AI for rapid deployment and efficient, low-complexity security at scale.

Kernel-Level Enforcement

AI EdgeLabs intercepts and blocks malicious activity at the kernel, stopping zero-days, supply chain exploits, and APT-style attacks before they can spread.

Real-Time Surgical Response

The lightweight agent with built-in AI inference processes data directly on the host, ensuring autonomous, inline protection in milliseconds.

Cloud-Independent

100% on-device data locality and processing deliver uncompromised security even in sovereign, offline, or air-gapped environments.

Advanced Insights

Go beyond traditional monitoring with visibility into process execution, syscalls, network traffic, and file access – all mapped against MITRE ATT&CK framework.

LLM-based Alerts Explanation

The AI Security Assistant (AISA) provides real-time alert interpretation and compliance-ready reporting, minimizing analyst workload.

AI-Generated Actionable Playbooks

Automate response procedures with AI-generated playbooks tailored to each environment, cutting MTTR and reducing human error.

See What AI EdgeLabs Can Do

Explore More Resources

Article · 30 Mar 2023

Zero-day attacks in distributed edge environments

Generative AI to Prevent Tomorrow’s Threats. Today.

Your most critical data and workloads run across distributed, mission-critical environments. Protect what matters most with real-time, autonomous, kernel-level AI defense — built for the edge, the cloud, and everything in between.

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