confidences

@JvmName(name = "cpegmxfeahckhpmu")
suspend fun confidences(value: Output<List<AutomationRuleCriteriaConfidenceArgs>>)
@JvmName(name = "ldmavbxlmritdske")
suspend fun confidences(value: List<AutomationRuleCriteriaConfidenceArgs>?)

Parameters

value

The likelihood that a finding accurately identifies the behavior or issue that it was intended to identify. Confidence is scored on a 0–100 basis using a ratio scale. A value of 0 means 0 percent confidence, and a value of 100 means 100 percent confidence. Documented below.


@JvmName(name = "yihsdojjjpdoojld")
suspend fun confidences(vararg values: Output<AutomationRuleCriteriaConfidenceArgs>)


@JvmName(name = "sshvsbutnyjhvkbe")
suspend fun confidences(values: List<Output<AutomationRuleCriteriaConfidenceArgs>>)
@JvmName(name = "vxfdtwtqhytdmrcv")
suspend fun confidences(vararg values: AutomationRuleCriteriaConfidenceArgs)

Parameters

values

The likelihood that a finding accurately identifies the behavior or issue that it was intended to identify. Confidence is scored on a 0–100 basis using a ratio scale. A value of 0 means 0 percent confidence, and a value of 100 means 100 percent confidence. Documented below.


@JvmName(name = "rbhkcohuajqmecxt")
suspend fun confidences(argument: List<suspend AutomationRuleCriteriaConfidenceArgsBuilder.() -> Unit>)
@JvmName(name = "ietwyvtewdbqolgw")
suspend fun confidences(vararg argument: suspend AutomationRuleCriteriaConfidenceArgsBuilder.() -> Unit)
@JvmName(name = "lxnvloqsluockdtx")
suspend fun confidences(argument: suspend AutomationRuleCriteriaConfidenceArgsBuilder.() -> Unit)

Parameters

argument

The likelihood that a finding accurately identifies the behavior or issue that it was intended to identify. Confidence is scored on a 0–100 basis using a ratio scale. A value of 0 means 0 percent confidence, and a value of 100 means 100 percent confidence. Documented below.