VPC Service Controls

Related topics

• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• Cloud Audit Logs works with VPC Service Controls From the official documentation: “VPC Service Controls integrate with Cloud Audit Logs to monitor access to the control plane.”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “[VPC Service Controls](/vpc-service-controls/docs/overview) can help you mitigate the risk of data exfiltration from Gemini Enterprise Agent Platform.”
• VPC Service Controls secures Cloud Storage From the official documentation: “Storage Transfer Service supports transfers to Cloud Storage buckets protected by VPC Service Controls.”
• VPC Service Controls secures Managed Service for Apache Airflow From the official documentation: “Managed Airflow can be selected as a secured service inside a VPC Service Controls perimeter.”
• Firestore works with VPC Service Controls From the official documentation: “Because Firestore with MongoDB compatibility is compliant with VPC Service Controls, you can use this domain in VPC Service Controls scenarios.”
• Identity and Access Management works with VPC Service Controls From the official documentation: “VPC Service Controls perimeters and Identity and Access Management (IAM) roles work together.”
• VPC Service Controls secures Compute Engine From the official documentation: “To further protect your Compute Engine resources, you can protect them using [VPC Service Controls](/vpc-service-controls/docs/overview).”
• VPC Service Controls works with Workflows From the official documentation: “You can use VPC Service Controls with Workflows to help protect your services.”
• Agent Platform works with VPC Service Controls From the official documentation: “Agent Platform supports Google Cloud security controls that you can use to meet your requirements for data residency, [customer-managed encryption keys (CMEK)](/gemini-enterprise-agent-platform/machine-learning/general/cmek), network security using [VPC Service…”
• Backup and DR works with VPC Service Controls From the official documentation: “This page gives an overview of [VPC Service Controls](/vpc-service-controls) and how you can integrate it with Backup and DR to secure your data and resources.”
• Batch works with VPC Service Controls From the official documentation: “This document explains how to use VPC Service Controls with Batch.”
• BigQuery works with VPC Service Controls From the official documentation: “BigQuery integrates with VPC Service Controls to restrict access to your BigQuery resources from specific networks.”
• Cloud Composer works with VPC Service Controls From the official documentation: “- **VPC SC**: To deploy Managed Airflow environments inside a security perimeter, see [Configuring VPC SC](/composer/docs/composer-1/configure-vpc-sc). When used with Managed Airflow, VPC Service Controls have several [known…”
• Cloud Key Management Service works with VPC Service Controls From the official documentation: “If you want your Dataproc Metastore service to run inside a [VPC Service Controls](/dataproc-metastore/docs/vpc-sc) perimeter, you must add the Cloud Key Management Service (Cloud KMS) API to the perimeter.”
• Cloud Logging works with VPC Service Controls From the official documentation: “This page describes how you can find VPC Service Controls errors using Cloud Logging.”
• Cloud Monitoring works with VPC Service Controls From the official documentation: “Cloud Monitoring performs the VPC perimeter check when a project is *added* to a metrics scope:”
• Cloud SQL works with VPC Service Controls From the official documentation: “Make sure that you configure VPC Service Controls so that the project that hosts the CA Service CA pool and CA<br>and the project that hosts Cloud SQL belong to the same service perimeter.”
• Managed Service for Apache Airflow works with VPC Service Controls From the official documentation: “By configuring your environment with VPC Service Controls, you can keep sensitive data private while taking advantage of the fully-managed workflow orchestration capabilities of Managed Airflow.”
• VPC Service Controls secures Agent Platform From the official documentation: “(Optional) To mitigate the risk of data exfiltration from Agent Platform, enable VPC Service Controls and specify a VPC network when you create a cluster.”
• VPC Service Controls secures Backup and DR From the official documentation: “Enclose backup operations within VPC Service Controls security perimeters to help secure your backup workflows.”
• VPC Service Controls secures Batch From the official documentation: “Protect Batch resources and data by using VPC Service Controls.”
• VPC Service Controls secures Cloud Composer From the official documentation: “If you want to protect your environment with VPC Service Controls, then make sure that both host and service projects are located in the same service perimeter For more information, see [Perimeters for environments with Shared VPC and…”
• VPC Service Controls secures Cloud Key Management Service From the official documentation: “After you configure VPC Service Controls, you restrict access to Cloud Key Management Service in VPC Service Controls or [enable domain restricted sharing](/resource-manager/docs/organization-policy/restricting-domains).”
• VPC Service Controls secures Cloud Monitoring From the official documentation: “VPC Service Controls provides additional security for Cloud Monitoring to help mitigate the risk of data exfiltration.”
• VPC Service Controls configures Cloud SQL From the official documentation: “This page describes how to enable VPC Service Controls on a Cloud SQL project.”
• VPC Service Controls secures Firestore From the official documentation: “Secure Firestore with centralized Google Cloud governance encompassing Identity and Access Management,VPC Service Controls (VPC-SC), Access Transparency,<br>Access Approval, Cloud Monitoring, and Cloud Logging.”
• BigQuery is an alternative to Cloud Storage From the official documentation: “The `import_result_sink` must be a Cloud Storage path or a BigQuery table.”
• BigQuery works with Cloud Storage From the official documentation: “Sample to load Avro data from Cloud Storage into a new BigQuery table”
• customer-managed encryption keys depends on Cloud Key Management Service From the official documentation: “These keys are created and managed using Cloud KMS.”
• BigQuery works with Cloud SQL From the official documentation: “Add credentials to connect BigQuery to Cloud SQL.”
• BigQuery works with Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• Cloud Key Management Service works with customer-managed encryption keys From the official documentation: “With CMEK, Cloud Key Management Service wraps your stored volume keys.”
• Cloud SQL works with Cloud Storage From the official documentation: “Exports data from a Cloud SQL instance to a Cloud Storage bucket as a SQL dump or CSV file.”
• customer-managed encryption keys secures Cloud Storage From the official documentation: “CMEKs encrypt data at rest in Cloud SQL, Cloud Storage, and within GKE clusters.”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• customer-managed encryption keys secures Cloud SQL From the official documentation: “Enable CMEK for Cloud SQL Databases”
• Cloud SQL works with Compute Engine From the official documentation: “Cloud SQL uses Compute Engine virtual machines (VMs) with persistent storage disks.”
• BigQuery works with Gemini Enterprise Agent Platform From the official documentation: “The BigQuery dataset stores all versions for the associated Gemini Enterprise Agent Platform dataset.”
• Cloud Storage works with customer-managed encryption keys From the official documentation: “Cloud Storage supports CMEK for routing logs.”
• customer-managed encryption keys is part of Cloud Key Management Service From the official documentation: “The Cloud KMS keys that you create are customer-managed keys.”
• Cloud Audit Logs works with Cloud Key Management Service From the official documentation: “Cloud Audit Logs for Cloud KMS in the Activity stream read like generic logs, and are not easily read by a human.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “This page provides supplemental information for using [Cloud Audit Logs](/logging/docs/audit) with Cloud Storage.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “You can store and view query-response activity logs in Cloud Logging and set up logs-based monitoring by using Cloud Monitoring.”
• Cloud Logging works with Cloud SQL From the official documentation: “Database Migration Service and Cloud SQL use Cloud Logging.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Cloud Storage works with Compute Engine From the official documentation: “For example, you can create a service account that your Compute Engine instances use to access objects stored in Cloud Storage buckets.”
• customer-managed encryption keys secures BigQuery From the official documentation: “You can either create CMEKs manually to protect your BigQuery resources or use Cloud KMS Autokey.”
• Identity and Access Management secures Firestore From the official documentation: “This page describes the IAM permissions and roles for Firestore.”
• Backup and DR works with Compute Engine From the official documentation: “This page details how to use Backup and DR to back up the disks of a Compute Engine instance.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• BigQuery works with Cloud Key Management Service From the official documentation: “A Cloud KMS key is considered available and accessible by BigQuery under the following conditions:”
• BigQuery works with Managed Service for Apache Airflow From the official documentation: “You can use Managed Airflow to orchestrate services in your data pipelines, such as triggering a job in BigQuery or starting a Dataflow pipeline.”
• Cloud Logging works with Compute Engine From the official documentation: “Compute Engine sends you Cloud Logging events for scheduled, started, or completed maintenance.”
• Cloud Logging works with Gemini Enterprise Agent Platform From the official documentation: “When you run a training job, Gemini Enterprise Agent Platform training saves logs to [Logging](/logging/docs).”
• Cloud Storage works with Gemini Enterprise Agent Platform From the official documentation: “When you perform custom training, Agent Platform usually loads your data from Cloud Storage.”
• customer-managed encryption keys secures Gemini Enterprise Agent Platform From the official documentation: “Enable customer-managed encryption keys (CMEK) for the Gemini Enterprise Agent Platform to gain more control over data encryption and key management.”
• customer-managed encryption keys secures Managed Service for Apache Airflow From the official documentation: “This page describes how to use [Customer Managed Encryption Keys (CMEK)](/kms/docs/cmek) to protect Managed Airflow environments.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• Agent Platform works with Cloud Storage From the official documentation: “Load the model's `state_dict` object into Cloud Storage by using a Agent Platform custom job:”