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AI-Based Threat Detection

Machine learning models trained on live network data detect zero-day threats and anomalies in real-time.

AI-Based Threat Detection

Overview

Nebero Next-Generation Firewall (NGFW) applies machine learning across live traffic to identify malicious behavior, unknown exploits, and policy violations before they reach protected assets. Models continuously adapt as your network evolves.

Key highlights

  • Detects zero-day and polymorphic threats without signature-only dependency
  • Correlates flows, DNS, and application behavior for higher-fidelity alerts
  • Learns normal baselines per segment to reduce false positives over time

Capabilities

Behavioral analysis

Identifies anomalous sessions, lateral movement, and data exfiltration patterns across users and devices.

Website & app blocking

Enforce category-based and custom URL policies with real-time reputation and content inspection.

Continuous learning

Models retrain on observed traffic so detection improves as new applications and threats emerge.