Project Overview
Sentinel is an advanced AI-driven cybersecurity tool designed to detect, analyze, and prevent cyber threats in real time. It integrates machine learning algorithms with behavioral analytics to identify anomalies and mitigate potential risks before they es
Key Features:
- Real-Time Threat Monitoring: Detects suspicious activities, phishing attempts, and malware infections instantly.
- AI-Powered Anomaly Detection: Uses machine learning models to identify unusual behaviors that indicate cyber threats.
- Automated Incident Response: Suggests or executes predefined security actions based on detected threats.
- Phishing Link Analyzer: Scans and verifies URLs to detect malicious phishing sites.
- Security Dashboard: Provides insights into network security, attack attempts, and system vulnerabilities.
- User Awareness Training: Educates users through simulated attack scenarios to improve security habits.
How It Works:
- Data Collection: Gathers security data from network logs, email communications, and user interactions.
- Threat Analysis: AI models analyze patterns and flag unusual behaviors indicative of cyber threats.
- Automated Alerts: Users receive real-time notifications about potential risks.
- Action Recommendations: Suggests preventive measures such as blocking access, resetting credentials, or isolating infected devices.
Future Enhancements:
- Integration with IoT devices for broader security coverage.
- AI chatbot assistance for security-related queries.
- Blockchain-based identity verification to prevent identity theft.