What method relies on keywords, regular expressions, and statistical analysis to protect files under a DLP program?

The method you are looking for is the one that employs keywords, regular expressions, and statistical analysis, which is known as the Precise Method in data loss prevention (DLP) programs. This technique is specifically designed to identify sensitive information by using well-defined patterns associated with that data.

By leveraging keywords, DLP solutions can spot specific words or phrases that are critical to protecting sensitive data, such as social security numbers, financial information, or proprietary corporate data. Regular expressions further enhance this capability by enabling the detection of complex patterns and formats of data, allowing for targeted and nuanced scanning of file contents. Statistical analysis can be utilized to discern normal data usage patterns, enabling the identification of anomalies that may indicate potential data breaches or leaks.

In contrast, the Imprecise Method typically involves a less nuanced approach, which might result in more false positives or negatives, making it less effective for a DLP program focused on precision and accuracy in data protection.

Understanding the importance of these methods in a DLP strategy is crucial, as organizations strive to protect sensitive data from unauthorized access and exfiltration, complying with regulations and maintaining privacy standards.