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soc-dashboard

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A legal, PyQt6-based cybersecurity dashboard for consent-based network traffic analysis on Windows. Captures packet metadata only (IPs, ports, protocols) with filter-driven monitoring and IP tracking - no decryption or MITM. Intended for educational, debugging, and defensive security use on authorized systems only.

  • Updated Jan 18, 2026

Sentinel is a professional-grade, multi-tenant cybersecurity monitoring platform. Built with Node.js, Fastify, and React, it features real-time WebSocket telemetry, automated brute-force detection, geographic risk mapping, and granular RBAC. Designed as a high-performance SOC dashboard for real-world threat analysis. (Version 26.3.0 Release).

  • Updated Apr 3, 2026
  • TypeScript

An enterprise-grade, real-time Fraud Detection Engine & SOC Dashboard. Built with a hybrid architecture combining an Isolation Forest ML model and a stateful Velocity Rule Engine to intercept financial cyberattacks. It features an asynchronous C# WPF desktop app for real-time threat monitoring and SQLite for optimized I/O buffering.

  • Updated Apr 1, 2026
  • Python

SentinAI is an anomaly-based Network Intrusion Detection System that uses XGBoost trained on CICIDS-2017 to detect DDoS, port scans, and unknown threats by learning normal traffic behavior — achieving F1: 1.0000. Includes a real-time SOC dashboard, rule-based incident response, and live Kali Linux attack validation.

  • Updated Apr 6, 2026
  • Jupyter Notebook

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