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False Positive Request Data Model

The False Positive Request data model represents a request to mark a finding as a false positive. It extends the Request data model.

The following table details the default attributes of the False Positive Request data model:

Attribute NameAttribute TypeRelationship TypeRequired
attachmentsAttachmentsN/ANo
baseRiskScoreCalculated (Number)N/ANo
bqlQueryTextN/ANo
categoriesText (Multivalued)N/ANo
commentsCommentsN/ANo
complianceStatusCalculated (Single Choice)N/ANo
createdByTextN/ANo
dataModelNameCalculated (Text)N/ANo
dateCreatedDate TimeN/ANo
dateLastApprovedDate TimeN/ANo
dateLastCanceledDate TimeN/ANo
dateLastRejectedDate TimeN/ANo
dateLastSubmittedDate TimeN/ANo
descriptionTextN/ANo
displayNameCalculated (Text)N/AYes
evidenceText AreaN/ANo
feedbackText AreaN/ANo
flowStateTextN/ANo
justificationText AreaN/ANo
lastUpdatedDate TimeN/ANo
nameTextN/ANo
numberOutofComplianceCalculated (Number)N/ANo
openFindingCountCalculated (Number)N/ANo
reviewerReference (User)REVIEWSNo
riskFactorOffsetCalculated (Number)N/ANo
riskRatingCalculated (Single Choice)N/ANo
riskScoreCalculated (Number)N/ANo
riskScoringModelRisk Scoring ModelN/ANo
sourcesReference (Base model)SOURCED_FROMNo
statusSingle ChoiceN/ANo
submitterReference (User)SUBMITTEDNo
targetsReference (Finding)REQUESTEDNo
uidUnique IdentifierN/ANo
updatedByTextN/ANo
FOOTNOTES