What is one effective method to reduce false positives in alerts within Splunk ES?

Implementing tag-based thresholds is an effective method to reduce false positives in alerts within Splunk Enterprise Security (ES) because it allows administrators to classify and categorize events more accurately. By utilizing tags, users can set thresholds that are context-aware and tailored specifically to the types of events that matter for their environment.

Tagging particular event types or specific conditions helps create more refined and nuanced alerts. This means that instead of applying a one-size-fits-all approach to alerting, which may capture a wide range of events — some irrelevant and some important — tag-based thresholds ensure that only those events that meet specific and relevant criteria will trigger an alert. Therefore, the system becomes more intelligent and focused, ultimately leading to a reduction in false positives while retaining the ability to catch genuine security incidents.

The other options, while they may seem beneficial initially, do not directly target the issue of false positives in the same effective way. For example, increasing alert frequency often leads to more alerts, which can exacerbate the problem of false positives. Simplifying alert criteria might reduce complexity, but it can also overlook important incidents that require more specific conditions to trigger an alert. Disabling all alerts negates the purpose of monitoring and does not address the challenge of fine-tuning the