User Behavior & Insider Threat Detection refers to solutions designed to identify, analyze, and respond to potentially risky or malicious activities originating from within an organization. These tools focus on monitoring user actions, detecting deviations from established behavioral baselines, and flagging activities that may indicate insider threats, whether intentional or accidental. Core capabilities include continuous monitoring of user activity across endpoints, networks, and applications, as well as advanced analytics to establish behavioral norms and detect anomalies. Many solutions incorporate machine learning to improve detection accuracy and reduce false positives. They often provide alerting, investigation workflows, and integration with broader security information and event management (SIEM) systems. These solutions are typically used by security operations teams, risk managers, and compliance officers seeking to mitigate risks posed by employees, contractors, or other trusted insiders. The primary goal is to detect threats that traditional perimeter-focused security controls may miss, such as data exfiltration, privilege abuse, or policy violations. This category differs from general threat detection or endpoint security by focusing specifically on user-centric risks and behavioral analysis rather than external threats or malware. Cyberin serves as a platform for organizations to explore and compare User Behavior & Insider Threat Detection solutions.