Struct aws_sdk_frauddetector::types::AtiMetricDataPoint

#[non_exhaustive]
pub struct AtiMetricDataPoint {
    pub cr: Option<f32>,
    pub adr: Option<f32>,
    pub threshold: Option<f32>,
    pub atodr: Option<f32>,
}

The Account Takeover Insights (ATI) model performance metrics data points.

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.

cr: Option<f32>

The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.

adr: Option<f32>

The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.

threshold: Option<f32>

The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

atodr: Option<f32>

The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.

Implementations

impl AtiMetricDataPoint

pub fn cr(&self) -> Option<f32>

The challenge rate. This indicates the percentage of login events that the model recommends to challenge such as one-time password, multi-factor authentication, and investigations.

pub fn adr(&self) -> Option<f32>

The anomaly discovery rate. This metric quantifies the percentage of anomalies that can be detected by the model at the selected score threshold. A lower score threshold increases the percentage of anomalies captured by the model, but would also require challenging a larger percentage of login events, leading to a higher customer friction.

pub fn threshold(&self) -> Option<f32>

The model's threshold that specifies an acceptable fraud capture rate. For example, a threshold of 500 means any model score 500 or above is labeled as fraud.

pub fn atodr(&self) -> Option<f32>

The account takeover discovery rate. This metric quantifies the percentage of account compromise events that can be detected by the model at the selected score threshold. This metric is only available if 50 or more entities with at-least one labeled account takeover event is present in the ingested dataset.

impl AtiMetricDataPoint

pub fn builder() -> AtiMetricDataPointBuilder

Creates a new builder-style object to manufacture AtiMetricDataPoint.

Trait Implementations

impl Clone for AtiMetricDataPoint

fn clone(&self) -> AtiMetricDataPoint

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AtiMetricDataPoint

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

Formats the value using the given formatter.

impl PartialEq for AtiMetricDataPoint

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for AtiMetricDataPoint