Overview
Listing of deployed agents
Security portal coordinates AI Agents deployments and delivers centralised management and secure visibility across all remote environements
Listing of deployed agents
Example of detected multi-stage attack

Product video
Platform Features
- All-in-One Security Stack: Integrates IPS, IDS, NDR, EDR, and vulnerability management capabilities into a single solution.
- High Scalability and Efficiency: Requires only 200 MB of RAM and uses an average of less than 5% CPU during runtime.
- On-Host AI Threat Detection: Processes and analyzes data locally to identify threats without transmitting information outside your environment.
- Real-Time Autonomous Protection: Delivers immediate detection and response for Linux infrastructure.
- AI-Generated Playbooks: Provides actionable response playbooks without requiring kernel-level access.
- Certified for Enterprise Environments: Verified for Red Hat Enterprise Linux, OpenShift, as well as operator and container deployments.
- Automated Updates: Offers seamless auto-updates and continuous AI enhancements.
- DPDK Support: Optimised for high-bandwidth deployments.
- Ultra-Accurate: Achieves a 0.001% false-positive rate.
- Linux-Centric: Supports both ARM and x86 platforms for broad compatibility.
Platform Benefits
- Enhanced Security: Detects and mitigates threats proactively, preventing significant damage.
- Regulatory Compliance: Helps meet industry standards and regulatory requirements.
- Scalability: Deploys easily across distributed systems such as Kubernetes, OpenShift, and similar platforms.
- Improved Visibility: Centralized monitoring provides a comprehensive, real-time view of your network security posture.
- Cost Efficiency: Reduces manual monitoring and intervention needs, lowering operational costs.
- Data Locality: All threat detection occurs at the network's edge, eliminating the need to transfer data to the cloud.
Highlights
- Comprehensive, Multi-Layer Protection: full-spectrum security that unites EDR, IPS/IDS and vulnerability management across all endpoints and infrastructures - delivering real-time, AI-driven threat detection and response.
- All-in-One AI-Driven Agent: A single, lightweight agent combining advanced threat detection, automated responses, AI-generated playbooks, and an AI Security Assistant - empowering security teams with streamlined workflows and actionable insights.
- Easy Deployment and Scalability: Rapid setup with minimal resources and seamless integration into any environment - scaling effortlessly to meet evolving organisational needs.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
Please contact our support team within 14 days of purchase. We will review the case on an individual basis. Use support@edgelabs.ai
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Delivery details
Docker, ECS
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
First release of the Agent to AWS Marketplace Vulnerability detection IPS improvements Security Hardening
Additional details
Usage instructions
In order to activate and install product please follow the steps:
- Request to contact@edgelabs.ai tenant activation, define contact Name and Email which should be used as main contact
- You will get Tenant Activation link, that usually happens within 24h or less
- Activate product with link. You will be forwarded to AI EdgeLabs Portal after that
- In "Configuration" > "Agent Installation" section you can find API_KEY
- Use that API Key for installation (command below)
In order to install AI Agent please use following command below, you need to replace '<API_KEY>' with actual API Key:
sudo docker run -d --name elb
--privileged
--volume "/var/run/docker.sock:/var/run/docker.sock"
--volume "/usr/bin/docker:/usr/bin/docker"
--volume "/:/host:rw"
--restart "unless-stopped"
--network "host"
--pid "host"
--env "DOCKER_SOCKET=/var/run/docker.sock"
--env "API_KEY=<API_KEY>"
709825985650.dkr.ecr.us-east-1.amazonaws.com/ai-edgelabs/elb:5.6.7
Agent Requirements: https://static.edgelabs.ai/EdgeLabs_AI-Sensor_Requirements.pdf
Agent Installation Guide: https://static.edgelabs.ai/EdgeLabs_Integration_Guide.pdf
Resources
Vendor resources
Support
Vendor support
You can submit support requests directly through your AI EdgeLabs portal. For help with account setup, data integration, or platform navigation, please reach out to our technical support team at support@edgelabs.ai .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.