Struct FraudDetectionResult

#[non_exhaustive]
pub struct FraudDetectionResult {
    pub fraud_detection_result_id: Option<String>,
    pub audio_aggregation_started_at: Option<DateTime>,
    pub audio_aggregation_ended_at: Option<DateTime>,
    pub configuration: Option<FraudDetectionConfiguration>,
    pub decision: Option<FraudDetectionDecision>,
    pub reasons: Option<Vec<FraudDetectionReason>>,
    pub risk_details: Option<FraudRiskDetails>,
}

The fraud detection result produced by Voice ID, processed against the current session state and streamed audio of the speaker.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

fraud_detection_result_id: Option<String>

The unique identifier for this fraud detection result. Given there can be multiple fraud detections for a given session, this field helps in identifying if the returned result is from previous streaming activity or a new result. Note that in the absence of any new streaming activity or risk threshold changes, Voice ID always returns cached Fraud Detection result for this API.

audio_aggregation_started_at: Option<DateTime>

A timestamp of when audio aggregation started for this fraud detection result.

audio_aggregation_ended_at: Option<DateTime>

A timestamp of when audio aggregation ended for this fraud detection result.

configuration: Option<FraudDetectionConfiguration>

The FraudDetectionConfiguration used to generate this fraud detection result.

decision: Option<FraudDetectionDecision>

The fraud detection decision produced by Voice ID, processed against the current session state and streamed audio of the speaker.

reasons: Option<Vec<FraudDetectionReason>>

The reason speaker was flagged by the fraud detection system. This is only be populated if fraud detection Decision is HIGH_RISK, and the following possible values: KNOWN_FRAUDSTER and VOICE_SPOOFING.

risk_details: Option<FraudRiskDetails>

Details about each risk analyzed for this speaker. Currently, this contains KnownFraudsterRisk and VoiceSpoofingRisk details.

Implementations

impl FraudDetectionResult

pub fn fraud_detection_result_id(&self) -> Option<&str>

The unique identifier for this fraud detection result. Given there can be multiple fraud detections for a given session, this field helps in identifying if the returned result is from previous streaming activity or a new result. Note that in the absence of any new streaming activity or risk threshold changes, Voice ID always returns cached Fraud Detection result for this API.

pub fn audio_aggregation_started_at(&self) -> Option<&DateTime>

A timestamp of when audio aggregation started for this fraud detection result.

pub fn audio_aggregation_ended_at(&self) -> Option<&DateTime>

A timestamp of when audio aggregation ended for this fraud detection result.

pub fn configuration(&self) -> Option<&FraudDetectionConfiguration>

The FraudDetectionConfiguration used to generate this fraud detection result.

pub fn decision(&self) -> Option<&FraudDetectionDecision>

The fraud detection decision produced by Voice ID, processed against the current session state and streamed audio of the speaker.

pub fn reasons(&self) -> &[FraudDetectionReason]

The reason speaker was flagged by the fraud detection system. This is only be populated if fraud detection Decision is HIGH_RISK, and the following possible values: KNOWN_FRAUDSTER and VOICE_SPOOFING.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .reasons.is_none().

pub fn risk_details(&self) -> Option<&FraudRiskDetails>

Details about each risk analyzed for this speaker. Currently, this contains KnownFraudsterRisk and VoiceSpoofingRisk details.

impl FraudDetectionResult

pub fn builder() -> FraudDetectionResultBuilder

Creates a new builder-style object to manufacture FraudDetectionResult.

Trait Implementations

impl Clone for FraudDetectionResult

fn clone(&self) -> FraudDetectionResult

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FraudDetectionResult

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for FraudDetectionResult

fn eq(&self, other: &FraudDetectionResult) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for FraudDetectionResult