AI-CYBER-SHEILD

get request
post /detect
title with logo
run detection

🛡 AI CyberShield

AI CyberShield is an intelligent cybersecurity platform designed to detect and analyze potential cyber threats using machine learning and real-time monitoring.

Inspiration

Cyber attacks are growing rapidly across the world, affecting businesses, governments, and individuals. Many organizations lack the tools to detect threats before they cause damage.

We were inspired to build AI CyberShield to demonstrate how artificial intelligence can help identify suspicious network behavior and detect cyber attacks early. Our goal was to create a simple but powerful system that visualizes threats and helps security teams monitor potential attacks in real time.

What it does

AI CyberShield analyzes network activity and predicts the threat level of incoming requests using machine learning.

The platform provides:

AI-powered threat detection
Cybersecurity dashboard
Threat intelligence insights
Real-time security alerts
Visual analytics for cyber threats

Users can input network data such as IP address, request count, and failed login attempts, and the system predicts whether the activity is Low, Medium, or High risk.

How we built it

We built AI CyberShield using a full-stack architecture combining machine learning, backend APIs, and a modern web dashboard.

Backend

The backend was built using FastAPI in Python. It processes incoming network data and sends it to a machine learning model that predicts the threat level.

Example threat score calculation:

[ ThreatScore = (RequestCount \times 0.6) + (FailedLogins \times 0.4) ]

The API endpoint processes requests and returns a threat prediction.