PhantomDragon AI
AI that hunts vulnerabilities.
50 modules across a 17-phase pipeline with LLM reasoning, adaptive payloads, exploit-chain discovery, and deep OSINT intelligence, roughly 62,000 lines of Python.
This is the engine our engineers run to deliver every $4,000 pentest, a real person drives it against your systems, then hands you a fixed-price report. It is not a self-serve cloud scanner.
Capabilities
Beyond pattern matching
Six capabilities that make this an AI penetration testing tool, not a scanner, it reasons about your systems, it doesn’t just pattern-match.
The model is hybrid: automated penetration testing for breadth (50 modules, a 17-phase pipeline, 75+ scanner modules), one human engineer for judgment. Every finding is verified by a person before it reaches your report. Read the full comparison in AI vs manual penetration testing, or see the fixed-price web and API pentest this engine delivers.
LLM Reasoning
Multi-provider AI analyzes responses, confirms vulnerabilities, and generates executive summaries with confidence scoring.
Adaptive Payloads
AI generates context-aware payloads based on target responses, technology stack, and WAF evasion.
Attack Chain Analysis
Discovers multi-step exploit paths combining individual vulnerabilities into real-world attack scenarios.
Mutation Engine
AI-driven mutation engine and differential analysis test variations beyond a static payload library. Every reported finding is verified by an engineer.
7-Strategy Validation
Deterministic replay, differential analysis, AI reasoning, semantic context, and tech-stack veto eliminate false positives.
50 Modules
17-phase scanning pipeline across 50 modules, from OSINT deep intelligence to exploit framework and compliance.
Standard vs AI
| Feature | Traditional | PhantomDragon AI |
|---|---|---|
| Detection Method | Pattern matching | LLM reasoning + differential |
| Payloads | Static library | Adaptive AI-generated |
| False Positives | Basic filtering | 7-strategy + tech-stack veto |
| OSINT | Basic recon | Deep SIGINT/HUMINT/COMINT |
| Exploit Chains | Individual findings | Multi-step attack graphs |
| Compliance | Manual mapping | OWASP/PCI/SOC2/HIPAA/NIST |
| Reports | PDF/text | HTML/PDF/SARIF/MD + AI summaries |
| Dashboard | CLI output | Real-time Rich TUI |
Deliverables
Multi-Format Reports
HTML with risk ring gauges, PDF, SARIF for CI/CD, and Markdown, all AI-enhanced.
Attack Chain Graphs
Interactive exploit path visualizations showing how vulnerabilities chain into real attacks.
Executive Summary
AI-generated business impact analysis with risk scores and board-ready language.
Compliance Mapping
Findings auto-mapped to OWASP, PCI DSS, SOC 2, HIPAA, ISO 27001, NIST, and GDPR.
How it works
Frequently asked
Is this fully autonomous?
No. The 17-phase pipeline automates scanning end to end, but a Ghost Protocol engineer scopes every engagement, drives the run, and verifies every finding before it reaches your report.
What AI models does it support?
Ollama (local), OpenAI, GitHub Copilot, and Phantom (custom). The AI layer handles reasoning, payload generation, validation, and report writing.
How does it reduce false positives?
7-strategy validation: deterministic replay, differential analysis, timing correlation, pattern confidence, semantic context, tech-stack veto, and AI reasoning.
What's the scanning coverage?
50 modules across injection, authentication, API security, data exposure, fuzzing, business logic, exploit chains, OSINT deep intelligence, and compliance mapping.
Book a penetration test
Email ryan@ghosts.lk or message +94 71 055 5055 on WhatsApp. Ryan replies within 24 hours. Working hours are Monday to Friday, 09:00 to 18:00 Colombo time (UTC+5:30).
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