Automated Threat Intelligence & Attack Surface Mapping Platform
Powered by Multi-LLM (Claude, Gemini, Llama-3) and Advanced Reconnaissance Engines
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OmniGuard is a next-generation cybersecurity platform that automates threat intelligence gathering and attack surface mapping. Built for Security Analysts and DevSecOps teams, OmniGuard utilizes real-time web crawling, port scanning, and OSINT gathering to feed data directly into an intelligent Multi-LLM ecosystem (Anthropic Claude, Google Gemini, and Groq Llama-3).
Rather than just presenting raw scan results, OmniGuard's AI evaluates the data, generates a predictive Risk Score (0-100), identifies critical CVEs, and provides Auto-Remediation scripts (Bash, Iptables, Ansible) to secure your infrastructure instantly.
- 🔍 Automated Attack Surface Mapping — One-click reconnaissance to discover endpoints, open ports, and technologies.
- 🧠 Multi-LLM Threat Analysis — Uses Claude 3 as the primary engine, with intelligent fallbacks to Gemini and Groq for uninterrupted analysis.
- 🛠️ Auto-Remediation — AI-generated mitigation scripts to instantly patch discovered vulnerabilities.
- 🤖 Interactive SOC Copilot — A context-aware chatbot designed to assist cybersecurity analysts in deep-dive investigations.
- 🌐 Deep OSINT Search — Real-time dark web and open-source intelligence gathering via Firecrawl and NVD databases.
- 📊 Executive Reports — Professional PDF threat reports with severity metrics and mitigation roadmaps.
- 🔄 Continuous Monitoring — Scheduled background scans with instant Discord webhook alerts for critical findings.
We have moved all comprehensive documentation to our GitHub Wiki to keep this repository clean and focused.
Please visit the Wiki for detailed guides:
- 🧑💻 End-User Manual A plain-english guide for non-technical users. Learn how to log in, run scans, read Risk Scores, and use the SOC Copilot.
- ⚙️ Admin Guide & Deployment The comprehensive manual for server administrators. Covers the CI/CD pipeline, VPS deployment, Docker architecture, and Environment variables management.
- 🔬 Technical Documentation Deep-dive into the source code structure, API design, Database Schema, AI Fallback mechanisms, and integration logic.
| Layer | Technology |
|---|---|
| Frontend | React 18, TypeScript, Vite, Tailwind CSS, shadcn/ui |
| Backend | Python 3.11, FastAPI, Uvicorn |
| Database | PostgreSQL 15 |
| Search Engine | Elasticsearch 8.12 |
| Infrastructure | Docker, Docker Compose, Traefik Reverse Proxy |
| AI Models | Anthropic Claude, Google Gemini, Groq Llama-3 |
| Integrations | Supabase Auth, Discord Webhooks, NVD, Shodan, Firecrawl |