An organization is implementing a new data loss prevention (DLP) tool. Which of the following will BEST enable the organization to reduce false positive alerts?

Using the default policy and tool rule sets often leads to a high number of false positives because these default rules are generic and may not align precisely with an organization's specific data or operational context.

Deploying the tool in monitor mode allows for analysis of alerts without enforcement, but it does not inherently reduce the generation of false positives, only the impact of their enforcement.

Reducing the number of detection points (e.g., endpoints, network gateways) would likely reduce the overall number of alerts, but it also increases the risk of actual data loss and does not specifically address the accuracy of the alerts generated at the remaining points.

Configuring a limited and highly specific set of rules is the best approach to reduce false positive alerts because it allows the organization to focus detection on critical, well-defined data types and specific use cases, thereby avoiding over-broad policies that trigger on benign activities. This approach minimizes the chances of legitimate actions being flagged incorrectly, leading to a more manageable and effective DLP system.