Network Behavior Analysis Overview
Network Behavior Analysis (NBA) establishes baseline network behavior and detects anomalies indicating security threats. NBA identifies attacks that evade signature-based detection by recognizing unusual patterns in traffic, protocols, and user behavior.

Baseline Establishment
Establish baselines for normal traffic patterns, bandwidth utilization, protocol distribution, connection patterns, and user behavior. Baselines require learning period capturing typical business operations across different times and conditions.
Anomaly Detection
Detect anomalies including unusual traffic volumes, unexpected protocols, abnormal connection patterns, data exfiltration indicators, and insider threat behaviors. Machine learning enhances detection accuracy and reduces false positives.
Use Cases
NBA detects DDoS attacks, malware C2 communications, data exfiltration, lateral movement, reconnaissance activities, and insider threats. Particularly effective for zero-day threats and advanced persistent threats evading signatures.
Integration and Response
Integrate NBA with SIEM for correlation, trigger automated responses to critical anomalies, feed threat intelligence platforms, and enable security orchestration. NBA provides early warning for sophisticated attacks.
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