Reference documentation and code samples for the Google Cloud Data Loss Prevention v2 API enum Likelihood.
Coarse-grained confidence level of how well a particular finding
satisfies the criteria to match a particular infoType.
Likelihood is calculated based on the number of signals a
finding has that implies that the finding matches the infoType. For
example, a string that has an '@' and a '.com' is more likely to be a
match for an email address than a string that only has an '@'.
In general, the highest likelihood level has the strongest signals that
indicate a match. That is, a finding with a high likelihood has a low chance
of being a false positive.
For more information about each likelihood level
and how likelihood works, see Match
likelihood.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-04-17 UTC."],[[["This webpage provides documentation for the `Likelihood` enum within the Google Cloud Data Loss Prevention v2 API."],["The `Likelihood` enum is used to determine the confidence level of a finding matching a particular infoType, based on the strength of signals present."],["Several versions of the documentation are available, with the latest being version 4.16.0 and a range of version history being documented all the way down to 2.15.0."],["The enum's possible values include `Likely`, `Possible`, `Unlikely`, `Unspecified`, `VeryLikely`, and `VeryUnlikely`, each representing different levels of confidence in the match."],["The likelihood is used to determine the confidence level of how well a specific finding satisfies the criteria of an infoType, with higher likelihoods indicating stronger matching signals and a lower probability of false positives."]]],[]]
