Ensure That a Default Customer-Managed Encryption Key (CMEK) Is Specified for All BigQuery Data Sets
BigQuery by default encrypts the data as rest by employing Envelope Encryption using Google managed cryptographic keys. The data is encrypted using the data encryption keys and data encryption keys themselves are further encrypted using key encryption keys. This is seamless and do not require any additional input from the user. However, if you want to have greater control, Customer-managed encryption keys (CMEK) can be used as encryption key management solution for BigQuery Data Sets. BigQuery by default encrypts the data as rest by employing Envelope Encryption using Google managed cryptographic keys. This is seamless and does not require any additional input from the user. For greater control over the encryption, customer-managed encryption keys (CMEK) can be used as encryption key management solution for BigQuery Data Sets. Setting a Default Customer-managed encryption key (CMEK) for a data set ensure any tables created in future will use the specified CMEK if none other is provided.
Risk Level: High
Cloud Entity: BigQuery
CloudGuard Rule ID: D9.GCP.CRY.12
Covered by Spectral: Yes
Category: Data analytics
GSL LOGIC
BigQuery should not have defaultEncryptionConfiguration.kmsKeyName isEmpty()
REMEDIATION
From Command Line
- The default CMEK for existing data sets can be updated by specifying the default key in the EncryptionConfiguration.kmsKeyName field when calling the datasets.insert or datasets.patch methods
- To create a new Dataset with default-CMK use;
bq mk --default_kms_key projects/KMS_PROJECT_ID/locations/LOCATION/keyRings/KEY_RING/cryptoKeys/KEY --dataset DATASET_ID
- To update an existing dataset, use:
bq update --default_kms_key projects/KMS_PROJECT_ID/locations/LOCATION/keyRings/KEY_RING/cryptoKeys/KEY --dataset DATASET_ID
References
- https://workbench.cisecurity.org/sections/507176/recommendations/865103
- https://cloud.google.com/bigquery/docs/customer-managed-encryption#dataset_default_key
BigQuery
BigQuery is Google's serverless, highly scalable, enterprise data warehouse designed to make all your data analysts productive at an unmatched price-performance. Because there is no infrastructure to manage, you can focus on analyzing data to find meaningful insights using familiar SQL without the need for a database administrator.
Compliance Frameworks
- CloudGuard GCP All Rules Ruleset
- GCP CIS Controls V 8
- GCP CIS Foundations v. 1.2.0
- GCP CIS Foundations v. 1.3.0
- GCP CIS Foundations v. 2.0
- GCP CloudGuard Best Practices
- GCP MITRE ATT&CK Framework v12.1
- GCP NIST 800-53 Rev 5
Updated about 1 year ago