Struct DataSecurity 

#[non_exhaustive]
pub struct DataSecurity {

    pub category: Option<String>,
    pub category_id: Option<i64>,
    pub classifier_details: Option<Box<ClassifierDetails>>,
    pub confidentiality: Option<String>,
    pub confidentiality_id: Option<i64>,
    pub data_lifecycle_state: Option<String>,
    pub data_lifecycle_state_id: Option<i64>,
    pub detection_pattern: Option<String>,
    pub detection_system: Option<String>,
    pub detection_system_id: Option<i64>,
    pub discovery_details: Option<Vec<DiscoveryDetails>>,
    pub pattern_match: Option<String>,
    pub policy: Option<Box<Policy>>,
    pub size: Option<i64>,
    pub src_url: Option<String>,
    pub status: Option<String>,
    pub status_details: Option<Vec<String>>,
    pub status_id: Option<i64>,
    pub total: Option<i64>,
    pub uid: Option<String>,
}

Data Security

The Data Security object describes the characteristics, techniques and content of a Data Loss Prevention (DLP), Data Loss Detection (DLD), Data Classification, or similar tools’ finding, alert, or detection mechanism(s).

[] Category: | Name: data_security

Constraints:

• at_least_one: [category_id,confidentiality_id]

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.

category: Option<String>

Category

The name of the data classification category that data matched into, e.g. Financial, Personal, Governmental, etc.

optional

category_id: Option<i64>

Category ID

The normalized identifier of the data classification category.

recommended

classifier_details: Option<Box<ClassifierDetails>>

Classifier Details

Describes details about the classifier used for data classification.

recommended

confidentiality: Option<String>

Confidentiality

The file content confidentiality, normalized to the confidentiality_id value. In the case of ‘Other’, it is defined by the event source.

optional

confidentiality_id: Option<i64>

Confidentiality ID

The normalized identifier of the file content confidentiality indicator.

recommended

data_lifecycle_state: Option<String>

Data Lifecycle State

The name of the stage or state that the data was in. E.g., Data-at-Rest, Data-in-Transit, etc.

optional

data_lifecycle_state_id: Option<i64>

Data Lifecycle State ID

The stage or state that the data was in when it was assessed or scanned by a data security tool.

recommended

detection_pattern: Option<String>

Detection Pattern

Specific pattern, algorithm, fingerprint, or model used for detection.

recommended

detection_system: Option<String>

Detection System

The name of the type of data security tool or system that the finding, detection, or alert originated from. E.g., Endpoint, Secure Email Gateway, etc.

optional

detection_system_id: Option<i64>

Detection System ID

The type of data security tool or system that the finding, detection, or alert originated from.

recommended

discovery_details: Option<Vec<DiscoveryDetails>>

Discovery Details

Details about the data discovered by classification job.

optional

pattern_match: Option<String>

Pattern Match

A text, binary, file name, or datastore that matched against a detection rule.

optional

policy: Option<Box<Policy>>

Policy

Details about the policy that triggered the finding.

recommended

size: Option<i64>

Size

Size of the data classified.

optional

src_url: Option<String>

Source URL

The source URL pointing towards the full classification job details.

optional

status: Option<String>

Status

The resultant status of the classification job normalized to the caption of the status_id value. In the case of ‘Other’, it is defined by the event source.

recommended

status_details: Option<Vec<String>>

Status Details

The contextual description of the status, status_id value.

optional

status_id: Option<i64>

Status ID

The normalized status identifier of the classification job.

recommended

total: Option<i64>

Total

The total count of discovered entities, by the classification job.

optional

uid: Option<String>

Unique ID

The unique identifier of the classification job.

optional

Trait Implementations

impl Clone for DataSecurity

fn clone(&self) -> DataSecurity

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataSecurity

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

Formats the value using the given formatter.

impl Default for DataSecurity

fn default() -> DataSecurity

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataSecurity

where DataSecurity: Default,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for DataSecurity

fn eq(&self, other: &DataSecurity) -> 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 Serialize for DataSecurity

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DataSecurity