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Detect abnormal network behavior using machine learning models
Develop an AI-powered cybersecurity system that monitors network traffic, identifies anomalies using unsupervised learning, and alerts administrators about potential security breaches in real time.
Network log ingestion
Anomaly detection engine
Risk scoring dashboard
Real-time alert notifications
Incident tracking system
Kafka streaming for network logs, ML anomaly detection service, Elasticsearch indexing, React monitoring dashboard.
Unsupervised learning
Log analysis
Security concepts
Deploy ML security systems
Log streaming integration
Anomaly detection model
Security monitoring UI