jiya1928/adoptive--credential--threat--intelligence
GitHub: jiya1928/adoptive--credential--threat--intelligence
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# Adaptive Credential Intelligence
## AI-Powered Cybersecurity Platform
Adaptive Credential Intelligence is an advanced cybersecurity platform designed to analyze password security, detect credential breaches, provide authentication protection, and monitor security events in real time.
The platform combines Artificial Intelligence, Threat Intelligence, Password Security Analysis, JWT Authentication, PostgreSQL Database Management, and Real-Time Monitoring to improve organizational security posture.
## Features
### Password Intelligence Engine
* AI-powered password strength analysis
* Password complexity evaluation
* Weak password detection
* Credential risk scoring
### Breach Detection
* Integration with Have I Been Pwned API
* Breached password identification
* Breach occurrence tracking
* Credential exposure alerts
### Authentication System
* Secure user registration
* User login system
* JWT token generation
* Token verification
* Password hashing using bcrypt
### Security Monitoring
* Security event logging
* Threat activity monitoring
* Real-time WebSocket alerts
* Suspicious behavior detection
### Security Hardening
* HTTP Security Headers
* X-Frame-Options Protection
* X-Content-Type-Options Protection
* HSTS Security Enforcement
### Database Management
* PostgreSQL Integration
* SQLAlchemy ORM
* User Management System
* Secure Data Storage
## Technology Stack
### Backend
* FastAPI
* Python
* SQLAlchemy
* PostgreSQL
* JWT Authentication
* Passlib
* Loguru
### Frontend
* React
* TypeScript
* Vite
* Axios
### AI & Analytics
* Scikit-Learn
* NumPy
* Pandas
* Joblib
### Security
* Bcrypt Password Hashing
* JWT Access Tokens
* Security Headers
* WebSocket Monitoring
## Project Structure
Adaptive-Credential-Intelligence
├── backend
│ ├── main.py
│ ├── database.py
│ ├── models.py
│ ├── auth.py
│ ├── jwt_handler.py
│ ├── ai_engine.py
│ ├── breach_checker.py
│ ├── security_headers.py
│ ├── websocket.py
│ ├── requirements.txt
│
├── frontend
│ ├── src
│ │ ├── App.tsx
│ │ ├── App.css
│ │ ├── main.tsx
│
└── README.md
## Installation
### Clone Repository
git clone https://github.com/Jiya1928/adaptive-credential-intelligence.git
cd adaptive-credential-intelligence
## Backend Setup
Navigate to backend:
cd backend
Create virtual environment:
python -m venv venv
Activate virtual environment:
### Windows
venv\Scripts\activate
### Linux / Mac
source venv/bin/activate
Install dependencies:
pip install -r requirements.txt
## PostgreSQL Setup
Create database:
CREATE DATABASE adaptive_db;
Update database credentials inside:
database.py
Example:
DATABASE_URL = "postgresql://postgres:YOUR_PASSWORD@localhost/adaptive_db"
## Run Backend
uvicorn main:app --reload
Backend URL:
http://127.0.0.1:8000
Swagger Documentation:
http://127.0.0.1:8000/docs
## Frontend Setup
Navigate to frontend:
cd frontend
Install dependencies:
npm install
Run application:
npm run dev
Frontend URL:
http://localhost:5173
## API Endpoints
### Register User
POST /register
### Login User
POST /login
### Analyze Password
POST /analyze
### WebSocket Monitoring
/ws
## Security Features
* Password Strength Analysis
* Breached Password Detection
* JWT Authentication
* Password Hashing
* SQL Injection Protection
* Security Headers
* Session Security
* Threat Monitoring
* Real-Time Alerts
## Future Enhancements
* Malware Detection Engine
* Threat Intelligence Dashboard
* CVE Monitoring
* VirusTotal Integration
* Dark Web Monitoring
* SIEM Integration
* Multi-Factor Authentication
* AI Threat Prediction
* Security Analytics Dashboard
## Author
**Jiya**
Cybersecurity Enthusiast | Security Researcher | AI Security Developer
GitHub:
https://github.com/Jiya1928
## License
This project is released under the MIT License.
Feel free to use, modify, and contribute.