Which IDS capability analyzes events in real time to detect anomalies as they occur?

Which IDS capability analyzes events in real time to detect anomalies as they occur?

• A. Pattern matching
• B. Signature-based anomaly detection
• C. Real-time anomaly detection
• D. Statistical-based anomaly detection

Answer: (C)

Detecting unusual activity as it happens requires processing data as it streams in and evaluating it against expected behavior to spot deviations immediately. Real-time anomaly detection does exactly that: it analyzes events in real time and raises alerts the moment something diverges from the norm, enabling rapid response. Pattern matching focuses on known patterns or sequences, not on identifying novel or evolving anomalies as they occur. Signature-based detection looks for pre-defined threat signatures, which is about known attacks rather than ongoing anomaly detection. Statistical-based anomaly detection uses models to flag deviations, but the key phrase here—“as they occur”—points to real-time anomaly detection as the best fit.

Detecting unusual activity as it happens requires processing data as it streams in and evaluating it against expected behavior to spot deviations immediately. Real-time anomaly detection does exactly that: it analyzes events in real time and raises alerts the moment something diverges from the norm, enabling rapid response. Pattern matching focuses on known patterns or sequences, not on identifying novel or evolving anomalies as they occur. Signature-based detection looks for pre-defined threat signatures, which is about known attacks rather than ongoing anomaly detection. Statistical-based anomaly detection uses models to flag deviations, but the key phrase here—“as they occur”—points to real-time anomaly detection as the best fit.