Struct aws_sdk_wafv2::types::AwsManagedRulesBotControlRuleSet

#[non_exhaustive]
pub struct AwsManagedRulesBotControlRuleSet {
    pub inspection_level: InspectionLevel,
    pub enable_machine_learning: bool,
}

Details for your use of the Bot Control managed rule group, AWSManagedRulesBotControlRuleSet. This configuration is used in ManagedRuleGroupConfig.

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.

inspection_level: InspectionLevel

The inspection level to use for the Bot Control rule group. The common level is the least expensive. The targeted level includes all common level rules and adds rules with more advanced inspection criteria. For details, see WAF Bot Control rule group in the WAF Developer Guide.

enable_machine_learning: bool

Applies only to the targeted inspection level.

Determines whether to use machine learning (ML) to analyze your web traffic for bot-related activity. Machine learning is required for the Bot Control rules TGT_ML_CoordinatedActivityLow and TGT_ML_CoordinatedActivityMedium, which inspect for anomalous behavior that might indicate distributed, coordinated bot activity.

For more information about this choice, see the listing for these rules in the table at Bot Control rules listing in the WAF Developer Guide.

Default: TRUE

Implementations

impl AwsManagedRulesBotControlRuleSet

pub fn inspection_level(&self) -> &InspectionLevel

The inspection level to use for the Bot Control rule group. The common level is the least expensive. The targeted level includes all common level rules and adds rules with more advanced inspection criteria. For details, see WAF Bot Control rule group in the WAF Developer Guide.

pub fn enable_machine_learning(&self) -> bool

Applies only to the targeted inspection level.

Determines whether to use machine learning (ML) to analyze your web traffic for bot-related activity. Machine learning is required for the Bot Control rules TGT_ML_CoordinatedActivityLow and TGT_ML_CoordinatedActivityMedium, which inspect for anomalous behavior that might indicate distributed, coordinated bot activity.

For more information about this choice, see the listing for these rules in the table at Bot Control rules listing in the WAF Developer Guide.

Default: TRUE

impl AwsManagedRulesBotControlRuleSet

pub fn builder() -> AwsManagedRulesBotControlRuleSetBuilder

Creates a new builder-style object to manufacture AwsManagedRulesBotControlRuleSet.

Trait Implementations

impl Clone for AwsManagedRulesBotControlRuleSet

fn clone(&self) -> AwsManagedRulesBotControlRuleSet

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for AwsManagedRulesBotControlRuleSet

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

Formats the value using the given formatter.

impl PartialEq for AwsManagedRulesBotControlRuleSet

fn eq(&self, other: &AwsManagedRulesBotControlRuleSet) -> 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 AwsManagedRulesBotControlRuleSet