confidence

@JvmName(name = "ljqsgcuslqiiufna")
suspend fun confidence(value: Output<List<AutomationRuleNumberFilterArgs>>)
@JvmName(name = "jttlftckvesrjxsf")
suspend fun confidence(value: List<AutomationRuleNumberFilterArgs>?)

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. For example, a data exfiltration detection based on a statistical deviation of network traffic has low confidence because an actual exfiltration hasn't been verified. For more information, see Confidence in the User Guide. Array Members: Minimum number of 1 item. Maximum number of 20 items.


@JvmName(name = "yymamxtmnlfahfss")
suspend fun confidence(vararg values: Output<AutomationRuleNumberFilterArgs>)


@JvmName(name = "alwlkxdwtwxogxei")
suspend fun confidence(values: List<Output<AutomationRuleNumberFilterArgs>>)
@JvmName(name = "atbwjkpaxgipmhkc")
suspend fun confidence(vararg values: AutomationRuleNumberFilterArgs)

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. For example, a data exfiltration detection based on a statistical deviation of network traffic has low confidence because an actual exfiltration hasn't been verified. For more information, see Confidence in the User Guide. Array Members: Minimum number of 1 item. Maximum number of 20 items.


@JvmName(name = "mfvgejllwqkxhwfi")
suspend fun confidence(argument: List<suspend AutomationRuleNumberFilterArgsBuilder.() -> Unit>)
@JvmName(name = "ohmmhhdabmbudkuk")
suspend fun confidence(vararg argument: suspend AutomationRuleNumberFilterArgsBuilder.() -> Unit)
@JvmName(name = "dftehcubwtjmeqwq")
suspend fun confidence(argument: suspend AutomationRuleNumberFilterArgsBuilder.() -> 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. For example, a data exfiltration detection based on a statistical deviation of network traffic has low confidence because an actual exfiltration hasn't been verified. For more information, see Confidence in the User Guide. Array Members: Minimum number of 1 item. Maximum number of 20 items.