What is a solution if a correlation search is generating many false positive notable events?

Suppressing notable events from a correlation search is an effective solution when facing an abundance of false positive notable events. This approach allows users to filter out unwanted alerts that do not meet the relevance or severity criteria for their specific use case, ultimately improving the quality of alerts and making incident management more efficient.

By suppressing false positives, security teams can focus on genuine threats and reduce alert fatigue, which can lead to missed critical incidents. It's essential, however, to regularly review the rationale behind the suppression to ensure that significant events are not overlooked. This can be particularly beneficial when fine-tuning search criteria or adjusting thresholds after an assessment of the types of events that are commonly flagged as false positives.

The other options, such as modifying the correlation schedule and sensitivity or disabling acceleration, may not directly address the core issue of false positives and could potentially impact the effectiveness or performance of the correlation search. Choosing the default status and severity might not provide the necessary customization needed to effectively filter out noise in alerts.