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    Kali-AI v2 - Automated Pentest Platform on Hardened Ubuntu 24.04 LTS

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    Sold by: Madarson IT 
    Deployed on AWS
    AWS Free Tier
    This product has charges associated with it for the Kali-AI v2 automated penetration testing platform. Kali-AI v2 automates penetration testing across 20 targets in parallel using a 7-tool pipeline and Claude AI, delivering white-label PDF reports for MSSPs and red teams.

    Overview

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    This is a repackaged software product wherein additional charges apply for the Kali-AI v2 automated penetration testing platform.

    Kali-AI v2 is a self-hosted autonomous penetration testing platform built on hardened Ubuntu 24.04 LTS. It runs a 7-tool scanning pipeline, analyzes every finding with Anthropic Claude AI, and generates professional 10-section PDF security reports automatically - no manual steps between scan launch and final deliverable.

    Designed for MSSPs, security teams, red teams, and penetration testers who need repeatable automated assessments without SaaS pricing or data residency risk. All data stays on your EC2 instance.

    How It Works

    Kali-AI v2 automatically executes Nmap, Nuclei, Nikto, WhatWeb, Gobuster, WPScan, and SQLMap in sequence. Findings are correlated, enriched with CVE data, and analyzed by Claude AI to produce an executive summary, risk rating, attack path analysis, remediation plan, and NIST/PCI-DSS/ISO 27001 compliance observations - delivered as a polished 10-section PDF.

    Key Features

    • 7-Tool Automated Pipeline: Nmap, Nuclei, Nikto, WhatWeb, Gobuster, WPScan, and SQLMap run automatically in sequence with no manual orchestration required.
    • Claude AI Analysis: Every finding is risk-rated and written up by Anthropic Claude, producing actionable narratives rather than raw scanner output.
    • 10-Section PDF Reports: Professional reports ready to deliver to clients or stakeholders. White-label with your company name and logo. Email delivery on scan completion.
    • Security Score Dashboard: Posture score (0-100, A-F), risk gauge, severity chart, and 7-day timeline.
    • Remediation Tracker: Assign findings, set due dates, track status, and export to CSV.
    • Attack Path Visualization: Interactive graph showing chained vulnerability sequences.
    • Scan Delta: Compare new vs resolved vs persistent findings across assessments.
    • Scheduled Scans: Cron-based recurring scans with Full, Quick, Web, or Network scan types.
    • Batch Scanning: Up to 20 targets with parallel execution for MSSP workflows.
    • Client and Project Tagging: Organize assessments by client and engagement.
    • Security Copilot: AI assistant for plain-language queries about results and remediation.
    • RBAC: Admin, analyst, and auditor roles with JWT authentication.
    • Integrations: Slack and Teams webhooks, SIEM JSON export, and REST API for CI/CD pipelines.

    Security and Data Handling

    The platform runs on a hardened Ubuntu 24.04 LTS base. The first-boot wizard ensures no default credentials exist. RBAC with JWT authentication controls access across roles. All scan data remains on your EC2 instance with no vendor data retention. API keys and SMTP credentials are stored in /opt/kali-ai/.env with restricted file permissions.

    Getting Started

    1. Launch an EC2 instance (t3.medium or larger, 30 GB EBS). Open port 80 in your Security Group.
    2. Browse to http://your-ec2-ip/  and complete the setup wizard.
    3. Create your admin account (12+ character password required).
    4. Add your Anthropic API key in Settings (obtain from console.anthropic.com - pay-per-use).
    5. Launch a scan. Try: scanme.nmap.org
    6. View the AI-analyzed PDF report in the Reports section.

    Evaluate Before You Commit

    To assess report quality and platform capabilities, request a sample anonymized PDF report from Madarson IT before deploying. Launch a t3.medium instance and run a scan against scanme.nmap.org to experience the full scan-to-report workflow with minimal commitment.

    Requirements and Limitations

    • An Anthropic API key is required for Claude AI analysis and is billed separately by Anthropic on a pay-per-use basis.
    • Buyers should verify compatibility with their target EC2 instance types before deploying at scale.
    • For HTTPS, deploy behind an AWS ALB or CloudFront distribution with an ACM certificate.

    Responsible Use

    AUTHORIZED USE ONLY. For security testing of systems you have explicit written permission to test. Unauthorized use violates the AWS Acceptable Use Policy, the Computer Fraud and Abuse Act (CFAA), and equivalent laws.

    About Madarson IT

    Madarson IT certified images are continuously updated, security-optimized, and built to meet enterprise requirements with minimal configuration. Madarson IT also offers hardened and custom images across AWS, GCP, and Azure Marketplace.

    Highlights

    • 7-Tool Automated Pentest Pipeline: Nmap, Nuclei, Nikto, WhatWeb, Gobuster, WPScan, and SQLMap run automatically in sequence. Findings are correlated, CVE-enriched, and analysed by Anthropic Claude AI - eliminating hours of manual tool orchestration per assessment. Schedule recurring scans, run batch assessments against up to 20 targets, and track delta changes across engagements without any manual pipeline management.
    • White-Label PDF Reports with Claude AI Analysis: Every scan produces a professional 10-section PDF report with executive summary, risk rating, attack path analysis, remediation plan, and NIST/PCI-DSS/ISO 27001 compliance observations generated by Claude AI. White-label with your company name and logo for direct client delivery. Email delivery on scan completion included.
    • Built for MSSP and Enterprise Workflows: Client and project tagging supports multi-tenant operations. Remediation tracker with assignee, due date, and CSV export integrates into project management workflows. Slack, Teams, and SIEM webhooks plus a full REST API enable CI/CD integration. RBAC with admin, analyst, and auditor roles controls access across your team.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
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    Pricing

    Kali-AI v2 - Automated Pentest Platform on Hardened Ubuntu 24.04 LTS

     Info
    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.

    Usage costs (124)

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    • ...
    Dimension
    Cost/hour
    m5a.large
    Recommended
    $0.50
    t3.micro
    $0.50
    t2.micro
    $0.25
    m3.large
    $0.50
    p3.16xlarge
    $16.00
    c8a.2xlarge
    $2.00
    r5a.xlarge
    $1.00
    i3.4xlarge
    $4.00
    t2.xlarge
    $1.00
    i2.4xlarge
    $4.00

    AI Insights

     Info

    Dimensions summary

    You pay by the hour based on the EC2 instance type you run this platform on. Each dimension maps to a specific instance size, so your rate reflects the compute you choose. General-purpose (m and t families), compute-optimized (c families), memory-optimized (r families), storage-optimized (i and d families), and GPU-accelerated (g and p families) options are available. Smaller instances like t3.nano cost less per hour than larger ones like p3.16xlarge. You scale cost up or down by selecting a different instance, and you only pay for the hours you use.

    Top-of-mind questions for buyers

    Each dimension bills per hour of runtime on the matching EC2 instance type. One unit equals one hour the platform runs on that instance. You are charged for actual running hours only. Instance size sets the rate, so larger instances carry a higher hourly software charge.
    The software charge meters running hours only. A fully stopped instance stops accruing the hourly software fee. Note that stopped instances may still incur underlying AWS storage charges for attached volumes, which are separate from this listing's software pricing.
    Yes. The platform sends findings to a third-party AI service for analysis, which requires your own separate API key from that provider. That key and its usage are billed separately by the AI provider and are not part of this hourly instance pricing.
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    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

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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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

    Kali-AI v2 - Autonomous Pentest Platform on Hardened Ubuntu 24.04 LTS

    Additional details

    Usage instructions

    Allow inbound SSH access in your security group (TCP port 22) Allow inbound web access in your security group on TCP port 80 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: "kali" To Access Dashboard and setup admin account: http://your-vm-ip 

    Support

    Vendor support

    Support for Kali-AI v2

    Madarson IT provides support for Kali-AI v2 via email at info@madarsonit.com . Contact us for assistance with deployment, configuration, scanning issues, report generation, or troubleshooting.

    How to Submit a Request

    When contacting support, please include:

    • Your EC2 instance ID
    • A description of the issue or question
    • Any relevant error messages or log output

    This information helps us diagnose and resolve your issue efficiently.

    Private Offers and Custom Licensing

    For private offers, volume licensing, or custom deployment arrangements, contact info@madarsonit.com  with details about your requirements and expected usage.

    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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