Network Behavior Analysis (NBA) refers to the process of monitoring and evaluating network traffic patterns to detect anomalies that may indicate security threats, policy violations, or operational issues. This category focuses on identifying deviations from established baselines of normal network activity, using statistical models, machine learning, or heuristic techniques to flag suspicious behaviors. Core capabilities of NBA solutions include continuous traffic monitoring, profiling of user and device behavior, detection of lateral movement, and alerting on unusual communication patterns. These tools often integrate with network infrastructure to provide visibility across both north-south and east-west traffic, enabling early detection of threats such as malware propagation, data exfiltration, or insider misuse. Network Behavior Analysis is typically used by security operations teams, network administrators, and incident responders who require enhanced situational awareness and rapid identification of subtle or emerging threats that may bypass traditional signature-based defenses. Unlike Intrusion Detection Systems (IDS) or firewalls, which rely on predefined rules or signatures, NBA emphasizes behavioral baselining and anomaly detection, making it effective for identifying unknown or zero-day attacks. Cyberin provides a neutral platform for organizations to explore and compare Network Behavior Analysis solutions based on technical features and use cases.