Metadata

Id: 58b35504-0287-4154-bf69-02c0573deab8

Cloud Provider: AWS

Platform: Terraform

Severity: High

Category: Encryption

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• Provider Reference

Description

Amazon SageMaker endpoint configurations should have encryption enabled using a KMS key to protect sensitive data at rest. Without proper encryption, data stored within SageMaker endpoints may be vulnerable to unauthorized access if the underlying storage is compromised. This represents a significant security risk as machine learning endpoints often process and store sensitive information.

To address this vulnerability, specify the kms_key_arn attribute in your SageMaker endpoint configuration. For example, the secure implementation uses the following configuration, where kms_key_arn is specified to enable encryption:

resource "aws_sagemaker_endpoint_configuration" "example" {
  // other configuration
  kms_key_arn = "aws_kms_key.example.arn"
}

In contrast, the insecure version omits this critical encryption setting.

Compliant Code Examples

resource "aws_sagemaker_endpoint_configuration" "negative" {
  name = "my-endpoint-config"

  production_variants {
    variant_name           = "variant-1"
    model_name             = aws_sagemaker_model.m.name
    initial_instance_count = 1
    instance_type          = "ml.t2.medium"
  }

  tags = {
    Name = "foo"
  }

  kms_key_arn = "aws_kms_key.example.arn"
}

Non-Compliant Code Examples

resource "aws_sagemaker_endpoint_configuration" "positive" {
  name = "my-endpoint-config"

  production_variants {
    variant_name           = "variant-1"
    model_name             = aws_sagemaker_model.m.name
    initial_instance_count = 1
    instance_type          = "ml.t2.medium"
  }

  tags = {
    Name = "foo"
  }
}