Which DLP approach uses exact matching of sensitive content rather than guessing?

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Multiple Choice

Which DLP approach uses exact matching of sensitive content rather than guessing?

Explanation:
Precise Methods rely on exact matching of predefined sensitive content, using exact data fingerprints or patterns. This means a data item is flagged only when it exactly matches what has been configured as sensitive, such as a specific credit card number pattern or a hashed file signature. Because there’s no guesswork involved, detections are deterministic and highly reliable for well-defined data types, reducing misses and misclassifications in those areas. In contrast, imprecise methods use heuristics and contextual analysis to guess whether content is sensitive, which can lead to more false positives or negatives. DLP Endpoint Software describes where protection is deployed, not the matching approach, and Out of band refers to a transfer method outside the normal channel, not a data-matching strategy.

Precise Methods rely on exact matching of predefined sensitive content, using exact data fingerprints or patterns. This means a data item is flagged only when it exactly matches what has been configured as sensitive, such as a specific credit card number pattern or a hashed file signature. Because there’s no guesswork involved, detections are deterministic and highly reliable for well-defined data types, reducing misses and misclassifications in those areas. In contrast, imprecise methods use heuristics and contextual analysis to guess whether content is sensitive, which can lead to more false positives or negatives. DLP Endpoint Software describes where protection is deployed, not the matching approach, and Out of band refers to a transfer method outside the normal channel, not a data-matching strategy.

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