What UEBA Risk Radar Is
UEBA (User and Entity Behavior Analytics) risk radar is a cybersecurity tool that monitors user behavior against established norms. It uses statistical methods like the Mahalanobis distance to quantify how far an individual's actions deviate from their typical pattern.
In this context, UEBA risk radar plots employees on a polar chart where each dot represents an employee and its position reflects both their real-time risk score (radius) and their peer group sector (angle).
Why It Matters
The ability to detect insider threats is crucial for maintaining the security of any organization. UEBA risk radar provides a visual and quantitative approach to identifying anomalies that could indicate malicious activity.
By continuously monitoring and adjusting to changes in peer-group behavior, it helps organizations stay ahead of potential threats without overwhelming them with false positives.
How It Works
The Mahalanobis distance is a statistical measure that takes into account the covariance between variables. In UEBA risk radar, this distance is used to calculate an employee's risk score based on their behavior compared to historical data.
Peer-group analysis ensures that the baseline for normal behavior is contextually relevant by considering similar users or roles within the organization.
Real-World Applications
UEBA risk radar can be applied in various settings, from financial institutions to healthcare providers. For instance, it can help detect unusual transactions that might indicate fraud or insider trading.
In a hospital setting, it could identify deviations in patient care routines that may signal improper behavior by staff members.
Frequently asked questions
How does UEBA risk radar handle changes in normal behavior patterns?
UEBA risk radar adapts to changes over time through continuous learning and updating of the baseline. This ensures that the system remains effective even as user behaviors evolve.
Can UEBA risk radar be used for non-security purposes?
Yes, UEBA can also be applied in performance management or process optimization to identify areas where employees might need additional support or training.
What is the significance of the peer-group sector on the chart?
The peer-group sector helps contextualize an individual's behavior by comparing them to others with similar roles or responsibilities, allowing for more accurate risk assessment.
How does UEBA risk radar deal with false positives?
UEBA systems are designed to minimize false positives through sophisticated algorithms and machine learning techniques that refine the detection criteria over time based on feedback loops.
Try it live
Everything above runs in your browser — open UEBA Risk Radar: Peer-Group Anomaly Scoring and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.
▶ Open UEBA Risk Radar: Peer-Group Anomaly Scoring simulation