Скачать или смотреть AI-Powered Cyber Threat Detection and Automated Remediation System 2025

AI-Powered Cyber Threat Detection and Automated Remediation System

Abstract:

Cyber threats have become increasingly sophisticated, posing significant risks to organizations and individuals. Traditional cybersecurity measures rely on static rule-based approaches, which often fail to detect zero-day attacks and evolving cyber threats. This project presents an AI-driven threat detection and automated remediation system, which leverages machine learning, deep learning, and cryptographic techniques to enhance cybersecurity. The system continuously analyzes incoming network traffic, system logs, and user behavior to identify anomalies and potential security threats such as malware, phishing attacks, and unauthorized access attempts. It integrates real-time monitoring, automated threat mitigation, and secure cryptographic solutions into a user-friendly Flask-based web application. By implementing predictive analytics and adaptive learning, the system significantly improves cybersecurity defenses, reducing human intervention and response time.

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