Struct DataClassification 

#[non_exhaustive]
pub struct DataClassification {

    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 discovery_details: Option<Vec<DiscoveryDetails>>,
    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 Classification

The Data Classification object includes information about data classification levels and data category types.

[] Category: | Name: data_classification

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

discovery_details: Option<Vec<DiscoveryDetails>>

Discovery Details

Details about the data discovered by classification job.

optional

policy: Option<Box<Policy>>

Policy

Details about the data policy that governs data handling and security measures related to classification.

optional

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 DataClassification

fn clone(&self) -> DataClassification

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DataClassification

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

Formats the value using the given formatter.

impl Default for DataClassification

fn default() -> DataClassification

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DataClassification

where DataClassification: 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 DataClassification

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

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 DataClassification