Class: Google::Cloud::Dlp::V2::Domain

Inherits:

Object

Object
Google::Cloud::Dlp::V2::Domain

show all

Extended by:: Protobuf::MessageExts::ClassMethods

Includes:: Protobuf::MessageExts

Defined in:: proto_docs/google/privacy/dlp/v2/dlp.rb

Overview

A domain represents a thematic category that a data profile can fall under.

Defined Under Namespace

Modules: Category, Signal

Instance Attribute Summary collapse

#category ⇒ ::Google::Cloud::Dlp::V2::Domain::Category
A domain category that this profile is related to.
#signals ⇒ ::Array<::Google::Cloud::Dlp::V2::Domain::Signal>
The collection of signals that influenced selection of the category.

Instance Attribute Details

#category ⇒ `::Google::Cloud::Dlp::V2::Domain::Category`

Returns A domain category that this profile is related to.

Returns:

(::Google::Cloud::Dlp::V2::Domain::Category) —
A domain category that this profile is related to.

# File 'proto_docs/google/privacy/dlp/v2/dlp.rb', line 8654

class Domain
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods

  # This enum defines the various domain categories a data profile can fall
  # under.
  module Category
    # Category unspecified.
    CATEGORY_UNSPECIFIED = 0

    # Indicates that the data profile is related to artificial intelligence.
    # When set, all findings stored to Security Command Center will set the
    # corresponding AI domain field of `Finding` objects.
    AI = 1

    # Indicates that the data profile is related to code.
    CODE = 2
  end

  # The signal used to determine the category.
  # New values may be added in the future.
  module Signal
    # Unused.
    SIGNAL_UNSPECIFIED = 0

    # One or more machine learning models are present.
    MODEL = 1

    # A table appears to contain text embeddings.
    TEXT_EMBEDDING = 2

    # A table appears to contain embeddings of any type (for example, text,
    # image, multimodal). The `TEXT_EMBEDDING` signal might also be present if
    # the table contains text embeddings.
    EMBEDDING = 7

    # The [Cloud SQL Vertex
    # AI](https://cloud.google.com/sql/docs/postgres/integrate-cloud-sql-with-vertex-ai)
    # plugin is installed on the database.
    VERTEX_PLUGIN = 3

    # Support for [Cloud SQL vector
    # embeddings](https://cloud.google.com/sql/docs/mysql/enable-vector-search)
    # is enabled on the database.
    VECTOR_PLUGIN = 4

    # Source code is present.
    SOURCE_CODE = 5

    # If the service determines the category type. For example, Vertex AI
    # assets would always have a `Category` of `AI`.
    SERVICE = 6
  end
end

#signals ⇒ `::Array<::Google::Cloud::Dlp::V2::Domain::Signal>`

Returns The collection of signals that influenced selection of the category.