What is one way to reduce false positives from the Brute Force Access Behavior Detected correlation search?

The correct approach to reducing false positives from the Brute Force Access Behavior Detected correlation search involves editing the search and modifying the threshold for less common matches. By adjusting the threshold to target less common matches, the search can become more discerning in identifying genuine brute force attempts while filtering out benign activities that previously triggered false positives.

When looking for unusual behaviors, it's crucial to establish what constitutes a genuine threat based on your environment's typical patterns of user behavior. If the threshold is set too low, even normal login attempts or minor fluctuations may be flagged erroneously. By increasing the threshold for these less common matches, Splunk will focus on signals that are more indicative of an actual brute-force attack, thereby refining the results and enhancing the accuracy of detections.

Adjusting the search criteria in this way is a strategic method used in correlation searches to better align alerts with the actual security posture of the organization, rather than inundating security teams with alerts that may not represent real threats. This method leverages a more nuanced understanding of the differences in user behavior and threat patterns to enhance overall security efficacy.