AI-powered real-time cybersecurity threat detection system with machine

AI-powered Cybersecurity Threat Detection System using Machine Learning and Security Logs. Detects malware, phishing attacks, and network intrusions using Python, TensorFlow, and SIEM logs.

AI-powered cybersecurity threat detection system using C++, ML, OpenCV, and Wireshark.

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This project is an AI-powered cybersecurity tool that analyzes text-based threats such as phishing emails, malicious network logs, and insider threats. It leverages the Groq API with the qwen-2.5-32b model and is built using Python and Streamlit for real-time security insights.

Shield AI is an AI-powered cybersecurity system prototype designed to assist security analysts and IT teams. It enables faster, more intelligent threat detection and response through a user-friendly interface and AI-driven insights.

Designed a system architecture to detect and mitigate real-time cybersecurity threats by analyzing network traffic and system logs using TensorFlow.

AI-powered Intrusion Detection System using Machine Learning. Real-time network threat monitoring and analytics with FastAPI backend and React dashboard. Built for Manthan Kriti 2025 to showcase intelligent cybersecurity automation.

Real-time AI-powered Network Intrusion Detection System with multi-model threat detection (Random Forest + Isolation Forest), explainable AI (SHAP), and an interactive cybersecurity dashboard

This AI-powered Intrusion Detection System uses a high-accuracy Random Forest Classifier to classify network traffic as normal or malicious. Deployed as a real-time Flask API, it provides an effective solution for cybersecurity threat prediction and analysis.

Insider Threat Predictor System is an AI-powered cybersecurity application that detects insider threats by monitoring user activities and behavior. It uses Isolation Forest for anomaly detection, sentiment analysis for risk scoring, real-time alerts, incident logging, automated account locking, and a live analytics dashboard built using Python GUI.

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AI-Powered Cybersecurity Threat Detection System in Automotive Systems( malicious CAN detection)

"AI-powered cybersecurity system for phishing detection and threat monitoring"

Advanced AI-powered cybersecurity system for real-time network threat detection

An AI-powered Threat Detection System that identifies suspicious web interactions using machine learning and deep learning models, enhancing cybersecurity through real-time anomaly detection.

A web-based AI-powered malware detection system integrating PE header analysis for .exe files, URL threat checks, file hash lookups, and extension verification. Designed for fast, reliable detection to support cybersecurity analysis and threat mitigation.

🛡️ AI-powered real-time threat detection system integrating Suricata IDS with CrewAI multi-agent framework, ML anomaly detection (Isolation Forest, One-Class SVM), MITRE ATT&CK mapping, and automated mitigation strategies for cybersecurity professionals

This project demonstrates the integration of AI-powered automation with Security Information and Event Management (SIEM) systems. It showcases modern cybersecurity practices by combining Elastic SIEM for threat detection with Tines workflow automation and AI summarization for intelligent alert processing.

Agnishield is an AI-powered cybersecurity system designed for real-time threat detection and automatic blocking. It combines machine learning-based anomaly detection, a centralized firewall/IPS, and a web-based console to monitor, manage, and secure network environments with enhanced efficiency and automation.

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AI-powered cybersecurity threat detection system that analyzes emails, logs, and text using LLMs and visualizes threats in a modern Streamlit dashboard.

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AI-Powered Cybersecurity Threat Detection System

AI-powered cybersecurity threat detection system

The AI-Enhanced Cybersecurity Threat Detector is a web-based platform designed to visualize and monitor potential cyber threats using AI-powered anomaly detection. It leverages transformer models to analyze system logs and network traffic for early threat identification.

Real-time AI-powered Cybersecurity Threat Detection System

Real-time AI-powered cybersecurity threat detection system

AI-powered cybersecurity honeypot system for threat detection

AI-Powered Cybersecurity Threat Detection System with Machine Learning