SiON

SiON continuously monitors user and entity activity to detect deviations from normal behavior. Using machine learning algorithms, it identifies potential insider threats early, allowing security teams to act before incidents escalate, thereby minimizing business risk and downtime.

This interactive dashboard by SiON software provides real-time visibility into attack sources and user activity, which helps identify attack patterns. Security teams can prioritize incidents, correlate multiple alerts, and visualize attack surfaces for improved response accuracy and decision-making.

The Threat Map feature offers a global visualization of active and historical threat data. By displaying IP-based entry points and vectors. It helps organizations pinpoint affected regions. It helps trace attack origins and analyze cross-border cyber trends to enhance situational awareness and readiness.

SiON features ECRS that works by assigning a risk score to each employee based on behavior, activity frequency, and policy violations. This scoring system enables targeted training, improved accountability, and proactive identification of potentially risky users within the organization.

Leveraging NLP technology, the vendor interprets and analyzes textual communications to detect risky intent or sensitive data exposure through keywords. This feature strengthens insider threat management by flagging abnormal language patterns or context-related anomalies.