Combining AI technology with expert insights, continuously monitor and analyze user behavior to proactively detect risks, respond swiftly to incidents, and build an efficient security operations framework.

UEBA continuously detects anomalies and flags high-risk behaviors.

Incidents follow a clear, end-to-end workflow for fast containment.

Models and rules improve continuously for sharper detection.

Data-driven reports reveal trends and guide decisions.

Real-time risk scores are generated for each employee, account, and action, based on multiple factors:

• Unusual login time, location, and device
• Frequency and volume of access to sensitive data
• Historical behavior deviations (compared with baseline behavior models)
• Employee status (e.g., resignation, role changes, performance)

Risk scores are updated in real-time, enabling enterprises to stay on top of high-risk behaviors and potential threats.

Convert risk scores into tiered alerts for quick assessment and response:

• Low Risk (Monitor): Minor deviations from baseline, recorded and continuously monitored without disrupting normal operations.
• Medium Risk (Investigate): Clear anomalies requiring further investigation by the security or management team.
• High Risk (Urgent Action): Significant anomalies or sensitive actions triggering automatic interception or manual intervention.

Alert levels can be customized based on enterprise policies, ensuring precise warnings and reducing false positives and alert fatigue.

When an alert is triggered, predefined security actions are automatically executed:

• Account Lockdown: Temporarily suspend high-risk accounts to prevent potential violations.
• Permission Restriction: Dynamically tighten access permissions to prevent sensitive data leaks.
• Manual Review Trigger: Push high-risk events to security or management teams, creating tickets or initiating SOAR automation workflows.

Automated actions combined with manual review enable rapid response and controlled intervention.

Conduct multi-dimensional statistics and analysis on historical and real-time risk events:

• Summarize risk events by department, role, time period, and action type.
• Analyze patterns and trends of high-risk behaviors to identify potential risk hotspots.
• Provide decision-support data for management, such as optimizing access policies, adjusting monitoring priorities, or improving security training.

Visualize results (risk heatmaps, trend curves) to give enterprises clear insights into internal risks.