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Program

BS Computer Science

Computer Science, Faculty of Computing

Supervisor

Imran Ali

Sector

Forti Vault AI driven Intrusion Detection System that uses AI to detect and neutralize network intrusions in real-time, and neutrilize threats.

All projects

Final Year Project

Forti Vault

Team

MU Muhammad Isbah FA Fakhir Najeeb CH Chahat Fatima

Forti Vault Machine Learning Signature Based Detection Intrusion Detection System Network Security Real-Time Monitoring Anomaly Detection Predictive Analysis Zero-Day Attacks Automated Mitigation Neural Networks Pattern Recognition Deep Packet Inspection Cyber Defense Traffic Analysis Threat Classification Data Security.

Abstract

Forti Vault is an AI-powered Intrusion Detection System that replaces reactive security with proactive intelligence. By using advanced Machine Learning to analyze network traffic in real-time, it identifies and neutralizes sophisticated threats with high accuracy. This project provides an automated, self-evolving defense to secure critical infrastructure and combat global cybercrime, without any technical intervention.