Vulnerability Detection for Distributed Environments
Identify weaknesses, prioritize fixes, stay secure
Comprehensive Vulnerability Management
AI EdgeLabs delivers continuous, AI-driven vulnerability detection purpose-built for distributed and
remote environments. Our approach combines lightweight SBOM-based asset collection on hosts with
scalable scanning and prioritization, ensuring accurate results with minimal bandwidth impact.
Vulnerability databases are updated multiple times per day to reflect the latest CVEs.
Ultimate Protection - From Edge to Cloud
Host Vulnerability Detection
Containers Vulnerability Detection
Risk Estimation & Remediation
Firmware Vulnerability Detection
Host Vulnerability Detection
Comprehensive Scanning
Detects vulnerabilities in host OS packages, running services, and container images with
full SBOM support.
Runtime-Based Risk Prioritization
Prioritizes vulnerabilities based on real exposure — running, reachable, or actively exploitable.
Lightweight SBOM-Based Asset Inventory
Collects dependency data in compact SBOM format for accurate, bandwidth-efficient visibility.
AI-Assisted Remediation Guidance
Provides AI-driven patching recommendations and mitigation workflows.
Continuously Updated Threat Intelligence
Refreshes vulnerability intelligence multiple times daily to detect newly disclosed CVEs.
Containers Vulnerability Detection
Container Runtime Coverage
Supports Docker, Kubernetes, Podman, and ContainerD across Linux environments.
Layered Image Analysis
Scans container images at package, layer, and base OS levels.
Runtime-Aware Risk Scoring
Focuses remediation on vulnerabilities in actively running containers.
Local & Sovereign Scanning
Analyzes device-local images without external dependencies.
Risk Estimation & Remediation
Exploitability-Based Scoring
Evaluates vulnerabilities based on real-world exploitability and asset criticality.
AI-Generated Remediation Playbooks
Delivers structured, step-by-step mitigation workflows.
Automated Patch Prioritization
Highlights high-exposure vulnerabilities for focused remediation.
Compliance-Ready Reporting
Generates audit evidence aligned with NIS2, CRA, ISO/IEC 62443, and NIST.
Firmware Vulnerability Detection
SBOM-Based Firmware Analysis
Ingests firmware SBOMs to detect vulnerabilities in embedded libraries.
Cross-Platform Coverage
Supports Linux, Windows, RTOS, and diverse embedded systems.
Contextual Risk Prioritization
Ranks firmware vulnerabilities based on exposure and operational impact.
Actionable Remediation Guidance
Provides mitigation steps with audit-ready documentation.
Streamlined, Scalable, and Smart Vulnerability Management
Lightweight & Bandwidth-Friendly
Uses SBOM export format for efficient, low-overhead scanning.
Remote & Local Analysis
Supports cloud-based or fully local scanning for sovereign and offline environments.
Unified Host & Container Coverage
Delivers visibility across OS, services, containers, VMs, and Kubernetes workloads.
Runtime-Based Risk Reduction
Eliminates noise from dormant packages and unused images.
AI-Driven Risk Identification
Ranks vulnerabilities by severity, exploitability, and real exposure.
Continuously Updated Intelligence
Integrates cloud-fed CVE databases refreshed multiple times per day.
Optimized for Edge Environments
Designed for distributed, bandwidth-constrained, and regulated infrastructures.
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Discover the Power of Our AI-Driven Vulnerability Management
Schedule a demo with our experts to see how AI EdgeLabs helps you identify risks sooner, prioritize
fixes intelligently, and meet compliance with confidence.