Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig

Description

Documentation

data EnrollmentJobFraudDetectionConfig Source #

The configuration defining the action to take when a speaker is flagged by the fraud detection system during a batch speaker enrollment job, and the risk threshold to use for identification.

See: newEnrollmentJobFraudDetectionConfig smart constructor.

Constructors

EnrollmentJobFraudDetectionConfig'

Fields

fraudDetectionAction :: Maybe FraudDetectionAction
The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.
riskThreshold :: Maybe Natural
Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.

Instances

Instances details

FromJSON EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods parseJSON :: Value -> Parser EnrollmentJobFraudDetectionConfig # parseJSONList :: Value -> Parser [EnrollmentJobFraudDetectionConfig] #
ToJSON EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods toJSON :: EnrollmentJobFraudDetectionConfig -> Value # toEncoding :: EnrollmentJobFraudDetectionConfig -> Encoding # toJSONList :: [EnrollmentJobFraudDetectionConfig] -> Value # toEncodingList :: [EnrollmentJobFraudDetectionConfig] -> Encoding #
Generic EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Associated Types type Rep EnrollmentJobFraudDetectionConfig :: Type -> Type # Methods from :: EnrollmentJobFraudDetectionConfig -> Rep EnrollmentJobFraudDetectionConfig x # to :: Rep EnrollmentJobFraudDetectionConfig x -> EnrollmentJobFraudDetectionConfig #
Read EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods readsPrec :: Int -> ReadS EnrollmentJobFraudDetectionConfig # readList :: ReadS [EnrollmentJobFraudDetectionConfig] # readPrec :: ReadPrec EnrollmentJobFraudDetectionConfig # readListPrec :: ReadPrec [EnrollmentJobFraudDetectionConfig] #
Show EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods showsPrec :: Int -> EnrollmentJobFraudDetectionConfig -> ShowS # show :: EnrollmentJobFraudDetectionConfig -> String # showList :: [EnrollmentJobFraudDetectionConfig] -> ShowS #
NFData EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods rnf :: EnrollmentJobFraudDetectionConfig -> () #
Eq EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods (==) :: EnrollmentJobFraudDetectionConfig -> EnrollmentJobFraudDetectionConfig -> Bool # (/=) :: EnrollmentJobFraudDetectionConfig -> EnrollmentJobFraudDetectionConfig -> Bool #
Hashable EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig Methods hashWithSalt :: Int -> EnrollmentJobFraudDetectionConfig -> Int # hash :: EnrollmentJobFraudDetectionConfig -> Int #
type Rep EnrollmentJobFraudDetectionConfig Source #
Instance details Defined in Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig type Rep EnrollmentJobFraudDetectionConfig = D1 ('MetaData "EnrollmentJobFraudDetectionConfig" "Amazonka.VoiceId.Types.EnrollmentJobFraudDetectionConfig" "amazonka-voice-id-2.0-E9fR3xKghdA6rj9Pl7P2NC" 'False) (C1 ('MetaCons "EnrollmentJobFraudDetectionConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fraudDetectionAction") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FraudDetectionAction)) :*: S1 ('MetaSel ('Just "riskThreshold") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newEnrollmentJobFraudDetectionConfig :: EnrollmentJobFraudDetectionConfig Source #

Create a value of EnrollmentJobFraudDetectionConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fraudDetectionAction:EnrollmentJobFraudDetectionConfig', enrollmentJobFraudDetectionConfig_fraudDetectionAction - The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.

$sel:riskThreshold:EnrollmentJobFraudDetectionConfig', enrollmentJobFraudDetectionConfig_riskThreshold - Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.

enrollmentJobFraudDetectionConfig_fraudDetectionAction :: Lens' EnrollmentJobFraudDetectionConfig (Maybe FraudDetectionAction) Source #

The action to take when the given speaker is flagged by the fraud detection system. The default value is FAIL, which fails the speaker enrollment. Changing this value to IGNORE results in the speaker being enrolled even if they are flagged by the fraud detection system.

enrollmentJobFraudDetectionConfig_riskThreshold :: Lens' EnrollmentJobFraudDetectionConfig (Maybe Natural) Source #

Threshold value for determining whether the speaker is a high risk to be fraudulent. If the detected risk score calculated by Voice ID is greater than or equal to the threshold, the speaker is considered a fraudster.