Example Concept: IDS/IPS effectiveness in noisy networks relies on robust pattern recognition and anomaly detection capabilities. Signature-based detection requires up-to-date databases to identify known threats, while anomaly-based systems must adaptively learn normal traffic patterns to flag deviations. Performance is enhanced by leveraging machine learning algorithms that can discern subtle threat indicators within large volumes of data, and by deploying systems with sufficient processing power to minimize latency and false positives.