C1000-162 IBM Security QRadar SIEM V7.5 Analysis Free Practice Exam Questions (2025 Updated)

Behavioral rule test parameters in QRadar SIEM are crucial for configuring how anomaly detection functions within rules. Here's a breakdown of each parameter:

Season: This is the most important parameter. It defines the historical time period used to establish a baseline of "normal" behavior. Consider the nature of the traffic you're monitoring when choosing a season:

Network traffic with human interaction: A season of 1 week might be appropriate.

Daily patterns: A season of 24 hours would be more suitable.

Current traffic level: Represents the current value of the property being monitored by the rule (e.g., number of login failures, bandwidth usage, etc.).

Predicted value: This is an estimation of what the traffic level "should" be, based on the established season and historical trends.

How the Parameters Work Together

Behavioral rules primarily identify deviations between the Current traffic level and the Predicted value within the context of the defined Season. Significant discrepancies can trigger alerts.

References

IBM Security QRadar Documentation - Anomaly Detection Rules: (https://www.ibm.com/docs/en/qradar-on-cloud?topic=rules-anomaly-detection ). Search for "behavioral rule test parameter options" within the relevant documentation for QRadar SIEM V7.5.