During routine monitoring, the SIEM detects an unusual spike in outbound data transfer from a critical database server. The typical outbound traffic for this server is around 5 MB/hour, but in the…

Question

Options

• AHeuristic-based detection
• BSignature-based detection
• CRule-based detection
• DAnomaly-based detection

• A
  4% (2)
• B
  7% (3)
• C
  2% (1)
• D
  87% (39)

Explanation

This alert is generated because the activity deviates significantly from the server’s established baseline, which is the hallmark of anomaly-based detection. The SIEM is not matching a known signature (so it is not signature-based), and the prompt emphasizes “deviations from normal behavior profile,” which typically means statistical profiling, baselining, or behavior analytics detecting outliers in volume, timing, destination, or frequency. While rule-based detections can also trigger on thresholds, the question explicitly frames the logic as “normal behavior profile,” which implies adaptive baselines rather than a fixed rule alone. Heuristic detection refers to generalized patterns or suspicion scoring, but here the core mechanism is abnormality versus historical norms (5 MB/hour typical vs 500 MB in 10 minutes). From a SOC triage perspective, anomaly alerts require aligns with authorized jobs, check change tickets, and correlate with authentication/process activity on the database host. Anomaly-based detection is especially valuable for data exfiltration because attackers can avoid known signatures, but they often struggle to mimic normal data movement patterns at scale.

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