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AI-POWERED // PENETRATION TESTINGPHANTOM
DRAGON_AI
AI That Hunts Vulnerabilities. 50 modules across a 17-phase pipeline with LLM reasoning, adaptive payloads, exploit chain discovery, and deep OSINT intelligence. 62,000+ lines of Python.
An AI penetration testing tool built for automated penetration testing — the same engine that powers our human-led $2,499 VAPT service (pentest as a service / PTaaS).
50_MODULES17_PHASE_PIPELINE48K+_LOC
CAPABILITIES 02
BEYOND_PATTERN_MATCHING
Six capabilities that make this an AI penetration testing tool, not a scanner — automated penetration testing that reasons, not just pattern-matches.
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.
Zero-Day Discovery
AI-driven mutation engine and differential analysis find novel vulnerabilities beyond known patterns.
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.
COMPARISON 03
STANDARD_VS_AI
FEATURETRADITIONALPHANTOM_DRAGON_AI
Detection MethodPattern matchingLLM reasoning + differential
PayloadsStatic libraryAdaptive AI-generated
False PositivesBasic filtering7-strategy + tech-stack veto
OSINTBasic reconDeep SIGINT/HUMINT/COMINT
Exploit ChainsIndividual findingsMulti-step attack graphs
ComplianceManual mappingOWASP/PCI/SOC2/HIPAA/NIST
ReportsPDF/textHTML/PDF/SARIF/MD + AI summaries
DashboardCLI outputReal-time Rich TUI
OUTPUT 04
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.
EXECUTION 05
HOW_IT_WORKS
01
Scope & Deploy
Define targets. AI configures optimal scan profile and phase selection.
02
Deep Reconnaissance
17-phase pipeline: DNS, tech fingerprint, cloud infra, email security, OSINT.
03
Intelligent Testing
50 modules with AI reasoning. Adaptive payloads. Exploit chain discovery.
04
Validated Results
7-strategy validation, FP suppression database, compliance-mapped reports.
INTEL 06
FAQ
Q: Is this fully autonomous?
A: Yes. Point it at a target and it runs the full 17-phase pipeline autonomously — from reconnaissance through reporting — with an optional agent loop for iterative deep testing.
Q: What AI models does it support?
A: Ollama (local), OpenAI, GitHub Copilot, and Phantom (custom). The AI layer handles reasoning, payload generation, validation, and report writing.
Q: How does it reduce false positives?
A: 7-strategy validation: deterministic replay, differential analysis, timing correlation, pattern confidence, semantic context, tech-stack veto, and AI reasoning.
Q: What's the scanning coverage?
A: 50 modules across injection, authentication, API security, data exposure, fuzzing, business logic, exploit chains, OSINT deep intelligence, and compliance mapping.
STOP_GUESSING.
START_KNOWING.
Let AI find what manual testing misses. Get a comprehensive assessment with actionable remediation.
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