Overview
Listing of deployed AI Agents
AI Agents works autonomously without direct dependency to the cloud and provide real-time treat detection and prevention for Network and Host activities and Software.
Listing of deployed AI Agents
Example of Attack detection in EDR Module
Unified and Efficient Solution to Protect the New Computing Paradigm
Platform Features:
- Uniquely combines IPS/IDS/NDR/EDR and application security into a single - containerized solution
- Extremely scalable, lightweight, and resource-efficient (200 MB, <4% CPU usage at runtime)
- Fully AI-driven local inference on the device or client's cloud instance, entirely CPU-based (GPU remains available for end-user)
- Provides true real-time, autonomous detection and response for Linux infrastructures
- Zero hardware footprint, designed to safeguard mission-critical assets and operational IP against downtime and breaches
- Detects and responds to 0-day and multi-layered (APT) attacks
- No policy enforcement required, delivers immediate actionable results
- Offers GenAI-generated actionable playbooks without requiring kernel-level responses
- Certified for RedHat Enterprise Linux & OpenShift/Operator
- Enables auto-updates and AI-driven upgrades
- Includes a DPDK version for telco use cases: inline protection for 20+ ports, each at 10Gbit/Sec
- Accurate woth with a 0.001% false-positive rate for network flows
- Linux-centric design
Highlights
- This AMI image unifies EDR, IPS/IDS, network traffic analysis, and monitoring across even the most resource-limited devices - from IoT gateways and routers to Linux servers, containers, and cloud environments on Kubernetes. Platform delivers real-time threat detection and response powered by advanced AI and machine learning algorithms, which automates and simplifies work with cyber-security incidents.
- All-in-One AI-Driven Agent. A lightweight Agent that seamlessly integrates advanced threat detection, automated responses, AI-generated playbooks, and an AI Security Assistant - delivering actionable insights and ready to use recommendations for security teams.
- Easy Deployment and Scalability: Enables rapid, hassle-free deployment with minimal configuration and resource use, making it ideal for resource-constrained environments - while ensuring seamless integration and effortless scalability according to organisation needs.
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Vendor refund policy
We will provide refunds for eligible purchases if requested within 7 days of the initial transaction, provided the product has not been extensively used and the customer provides a valid reason. Refunds will be issued back to the original payment method, and we reserve the right to decline requests that do not meet these criteria.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
More stable version of the agent, security hardening and bugfixes
Additional details
Usage instructions
Instructions for Activating and Using the AI EdgeLabs AMI Image
Obtain Your API Key
- Contact AI EdgeLabs to request tenant activation. Please refer to contact@edgelabs.aiÂ
- Activate your tenant at portal.edgelabs.ai.
- Navigate to Configuration > Agent Installation and copy your API Key.
Launch the AMI in AWS
- Select the appropriate instance type.
- Choose a VPC and subnet, and ensure a public IP is assigned.
- Under Advanced Details, paste your vMX authentication token from the AI EdgeLabs dashboard into the User Data field.
- Use default storage settings.
- Optionally, add tags as needed.
- For initial setup, allow all traffic in the security group. (Refer to Help > Firewall Info for detailed access control recommendations.)
- Once launched, the AI EdgeLabs Agent will be activated and ready to protect your environment, this can be checked in portal.edgelabs.ai
Resources
Vendor resources
Support
Vendor support
Please contact to support@edgebals.ai in case any questions
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.