AI-Based Dynamic Trust Scoring Engine for Zero Trust Security
Link to open source: https://github.com/Jaiswal0318/AI-based-Dynamic-Trust-Scoring-Engine
Link to Live Project: https://trust-scoring-engine.onrender.com
A real-time AI-powered trust scoring engine designed for Zero Trust architectures.
This system dynamically evaluates user, device, and network risk signals to generate a continuous trust score and enforce intelligent access decisions — allow, challenge, or deny.
Built using FastAPI and machine learning (Logistic Regression), the engine simulates real-world cybersecurity scenarios with explainable AI outputs and a live dashboard for monitoring decisions.
🔑 Key Features:
- 🔍 Real-time trust score calculation (0–1 scale)
- 🤖 AI-driven decision system (Allow / Challenge / Deny)
- 📊 Live dashboard with metrics & activity logs
- 🧠 Explainable AI (reasoning + feature contributions)
- 🔐 API key-based security layer
- ⚙️ Configurable scoring weights
- 📡 Background simulator for live traffic
💡 Use Case:
Ideal for Zero Trust Networks, cybersecurity systems, identity access management (IAM), and risk-based authentication platforms.
