Sold by: Madarson IT
Deployed on AWS
AWS Free Tier
This product has charges associated with it for security AI. This AWS-based EC2 comes pre-configured with SUSE Linux Enterprise Server 16, Cockpit web console, and an AI-powered Security Assistant backed by Anthropic Claude. Manage and monitor your server from any browser with intelligent security analysis built in.
Overview
This is a repackaged software product from Madarson IT with additional charges applied for configuration and seller support.
This AWS-based EC2 instance comes pre-configured with SUSE Linux Enterprise Server 16 and the Cockpit web console -- a browser-based system management interface that lets you monitor, configure, and manage your server without needing to SSH in for every task. Built on top of Cockpit is the Madarson IT Security Assistant, an AI-powered security analysis tool backed by Anthropic Claude that analyzes your live system and delivers actionable security findings, compliance observations, and remediation guidance on demand.
No agents to install. No SaaS subscriptions. No data leaving your instance except to the Anthropic API using your own key. Everything runs on your EC2 instance and is accessible from any browser.
COCKPIT WEB CONSOLE
Cockpit gives you a clean, modern browser interface to manage your SUSE Linux Enterprise Server 16 instance. From the console you can monitor CPU, memory, disk, and network in real time, manage running services, review system and security logs, manage user accounts, configure networking, manage storage and partitions, manage Podman containers, review and apply software updates, and access a full terminal in the browser -- no SSH client required.
AI SECURITY ASSISTANT
The Security Assistant is a custom Cockpit plugin that collects live system data and sends it to Anthropic Claude for analysis. It covers six analysis types -- Full Security Audit, SSH Configuration Review, Audit Log Analysis, Running Services Review, Network Security Review, and User Account Review. Results are formatted as an Executive Summary, prioritized Findings with severity ratings, numbered Recommendations, and Compliance Notes mapped to PCI-DSS, HIPAA, and NIST. The Ask AI tab lets you ask plain-language security questions about your system and get specific answers with real commands.
The Security Assistant uses your own Anthropic API key. Your key is stored only in your browser and never sent to Madarson IT. Analysis data goes directly from your instance to the Anthropic API.
WHO IS THIS FOR
Security teams and system administrators who want a fast, browser-based way to manage SUSE Linux servers without requiring deep CLI expertise for every task. Organizations that want AI-assisted security analysis without paying for a SaaS security platform. Small and mid-sized businesses running SUSE Linux workloads who need compliance-aware security guidance on demand. Developers and DevOps teams who want a lightweight management console with built-in AI security feedback.
QUICK START
- Launch EC2 instance (t3.medium or larger, 20GB EBS minimum). Open port 9090 in Security Group.
- Connect via SSH using your EC2 key pair and username ec2-user.
- Set an access password for the web console using the passwd command.
- Open a browser and navigate to your instance IP address on port 9090.
- Log in with ec2-user and the password you set.
- Click Security Assistant in the left navigation.
- Go to Settings and enter your Anthropic API key from your Anthropic account.
- Run a Full Security Audit or ask a security question.
ANTHROPIC API KEY
The Security Assistant requires an Anthropic API key for AI analysis. Each analysis call costs a few cents depending on the model selected. Claude Sonnet 4 is recommended for detailed analysis. Claude Haiku 4.5 is available for faster, lower-cost responses. Your key is stored only in your browser session and is never transmitted to or stored by Madarson IT.
Why use Madarson IT SUSE Linux Enterprise Server images? Madarson IT certified images are always up to date, secure, follow industry standards, and are built to work right out of the box.
Support: For questions, private offers, or additional support needs contact us at info@madarsonit.com
Disclaimer: SUSE and SUSE Linux Enterprise Server are registered trademarks of SUSE LLC. Madarson IT does not provide commercial licenses for SUSE products. Claude is a third-party AI service.
Highlights
- Browser-based server management with Cockpit: monitor CPU, memory, disk, and network in real time, manage services, review logs, manage users, configure networking, manage containers, and access a full browser terminal -- no SSH client required.
- AI Security Assistant powered by Anthropic Claude: analyze your live system for security risks, SSH hardening, audit log findings, network exposure, and user account issues -- with severity ratings, remediation commands, and PCI-DSS, HIPAA, and NIST compliance observations on demand.
- Your key, your data: the Security Assistant uses your own Anthropic API key. No SaaS subscription, no hidden fees, no vendor data retention. All analysis runs on your EC2 instance and goes directly to the AI service using your credentials.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Suse 16
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.50 |
t2.micro | $0.25 |
t3.micro | $0.50 |
r5.xlarge | $1.00 |
p5.4xlarge | $4.00 |
r3.large | $0.50 |
r3.8xlarge | $8.00 |
t3a.xlarge | $1.00 |
t3a.large | $0.50 |
m5.2xlarge | $2.00 |
Vendor refund policy
There is no refund policy for this image.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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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
SUSE Linux Enterprise Server 16 - Cockpit with AI Security Assistant
Additional details
Usage instructions
Allow inbound SSH access in your security group (TCP port 22) Allow inbound cockpit web access in your security group on TCP port 9090 To connect to your instance using the Amazon EC2 console: Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/ . In the navigation pane, choose Instances. Select the instance and choose Connect. Choose the EC2 Instance Connect tab. For Connection type, choose Connect using EC2 Instance Connect. Access the ec2 with the default username: "ec2-user" Set your password with sudo passwd ec2-user. Access Cockpit web console at https://your-vm-ip:9090 Go to Security Assistant in the left nav and enter your Anthropic API key in Settings to enable AI analysis.
Support
Vendor support
For private offers, compliance documentation, or custom hardening requirements contact us at info@madarsonit.com
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.
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