Which TWO methods are best practices for establishing realistic operational baselines in Cortex XSIAM? (Choose two)
Trap 1: Hardcoding static thresholds based on vendor marketing whitepapers
Vendor marketing numbers do not reflect organization-specific operational realities.
Trap 2: Using a random 5-minute snapshot of log data during peak holiday…
Holiday shutdown data represents anomalous low-activity periods and makes a poor baseline.
- A
Ignoring past security incidents when calculating baseline normal behavior
Wait, option E says ignore past incidents, which is incorrect. Let's make sure option E is a distractor. Ah, let me review the correct options. Options A and B are correct. Let's make sure E is incorrect. Yes, ignoring past incidents is bad.
- B
Analyzing sufficient historical data (e.g., 30 to 90 days) to account for business cycles
Long enough historical windows capture weekly, monthly, and seasonal variations.
- C
Hardcoding static thresholds based on vendor marketing whitepapers
Why wrong: Vendor marketing numbers do not reflect organization-specific operational realities.
- D
Using a random 5-minute snapshot of log data during peak holiday shutdown
Why wrong: Holiday shutdown data represents anomalous low-activity periods and makes a poor baseline.
- E
Segmenting data by environment type (e.g., corporate network vs. production DMZ)
Different environments have vastly different traffic patterns; segmentation prevents skewed baselines.