google.spanner.admin.instance.v1.InstanceAdmin.CreateInstance
API in GCP for CloudSpanner, it could be due to inadequate access controls. For example, if the API is being called with overly permissive IAM roles or if the service account used to call the API has excessive privileges, it can lead to unauthorized creation of instances and potential data breaches.
google.spanner.admin.instance.v1.InstanceAdmin.CreateInstance
API is used without proper encryption configurations, it can result in data being stored or transmitted without adequate protection. This can expose sensitive information to unauthorized access or compromise the confidentiality of the data.
google.spanner.admin.instance.v1.InstanceAdmin.CreateInstance
API without proper network security controls can also impact security. If the API is called without configuring appropriate firewall rules or network policies, it can expose the CloudSpanner instances to unauthorized network access. This can potentially lead to unauthorized data access, data manipulation, or denial of service attacks.
[PROJECT_ID]
with your GCP project ID, [NETWORK_NAME]
with the name of your VPC network, and [IP_RANGE]
with the IP range of your VPC network.[PROJECT_ID]
with your GCP project ID, [MEMBER]
with the email address or service account of the user, and [ROLE]
with the desired IAM role.[SINK_NAME]
with a name for your sink, and [BUCKET_NAME]
with the name of the Cloud Storage bucket where you want to store the logs.google-cloud-securitycenter
library to enable VPC Service Controls for CloudSpanner.update_organization_settings
method to update the organization settings and enable VPC Service Controls.google-cloud-iam
library to implement IAM roles and permissions for CloudSpanner.set_iam_policy
method to set the IAM policy for a CloudSpanner instance or database.google-cloud-logging
library to implement audit logging for CloudSpanner.write_log_entries
method to write audit logs to Cloud Logging.{organization_id}
, {project_id}
, {instance_id}
, {database_id}
, {log_name}
, and [email protected]
with the appropriate values specific to your GCP environment.