Machine-LearningNatural Language ProcessingNLPText Analysis
DataSecurityConfig is a JSON Structure definition published by Amazon Comprehend, describing 4 properties. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.
{
"$schema": "https://json-structure.org/meta/core/v0/#",
"$id": "https://raw.githubusercontent.com/api-evangelist/amazon-comprehend/refs/heads/main/json-structure/openapi.yml-data-security-config-structure.json",
"name": "DataSecurityConfig",
"description": "Data security configuration.",
"type": "object",
"properties": {
"ModelKmsKeyId": {
"allOf": [
{
"$ref": "#/components/schemas/KmsKeyId"
},
{
"description": "<p>ID for the KMS key that Amazon Comprehend uses to encrypt trained custom models. The ModelKmsKeyId can be either of the following formats:</p> <ul> <li> <p>KMS Key ID: <code>\"1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> <li> <p>Amazon Resource Name (ARN) of a KMS Key: <code>\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"</code> </p> </li> </ul>"
}
]
},
"VolumeKmsKeyId": {
"allOf": [
{
"$ref": "#/components/schemas/KmsKeyId"
},
{
"description": "ID for the KMS key that Amazon Comprehend uses to encrypt the volume."
}
]
},
"DataLakeKmsKeyId": {
"allOf": [
{
"$ref": "#/components/schemas/KmsKeyId"
},
{
"description": "ID for the KMS key that Amazon Comprehend uses to encrypt the data in the data lake."
}
]
},
"VpcConfig": {
"$ref": "#/components/schemas/VpcConfig"
}
}
}
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