Model Armor

Related topics

• Model Armor works with Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• Model Armor works with Sensitive Data Protection From the official documentation: “Model Armor integrates with Sensitive Data Protection to help prevent accidental exposure of private information.”
• Cloud Logging works with Model Armor From the official documentation: “Use Cloud Logging to analyze Model Armor usage patterns, errors, and performance metrics.”
• Gemini Enterprise Agent Platform works with Model Armor From the official documentation: “If you use floor settings for the [Agent Platform integration](/model-armor/model-armor-vertex-integration), all Model Armor features are available in the following locations.”
• Model Armor secures Vertex AI From the official documentation: “The following example enables Model Armor on a Vertex AI endpoint.”
• Cloud Monitoring works with Model Armor From the official documentation: “This graph uses the metrics that Model Armor publishes to Cloud Monitoring.”
• Model Armor secures Gemini Enterprise Agent Platform From the official documentation: “This document describes how to configure Model Armor to protect Gemini models on Gemini Enterprise Agent Platform by screening prompts and responses.”
• Agent Platform works with Model Armor From the official documentation: “Model Armor integrates with Agent Platform and Google Cloud MCP servers to screen requests and responses from Gemini models and Google Cloud remote MCP servers based on the floor settings you define.”
• AI Protection depends on Model Armor From the official documentation: “You must configure the following required services for AI Protection: - [Compliance Manager framework for AI Protection](/security-command-center/docs/ai-protection-overview#cm-framework) - [Model Armor](#configure-model)”
• Apigee works with Model Armor From the official documentation: “The Model Armor and Apigee integration lets you use the AI protection capabilities of Model Armor directly within the Apigee API gateway layer.”
• Cloud Audit Logs works with Model Armor From the official documentation: “Model Armor uses audit logs to record administrative and resource management activities.”
• Cloud Load Balancing works with Model Armor From the official documentation: “When using Model Armor as a service extension with Cloud Load Balancing, the Service Extensions service agent is involved.”
• Identity and Access Management secures Model Armor From the official documentation: “Model Armor uses Identity and Access Management (IAM) to control access to resources.”
• Model Armor depends on Identity and Access Management From the official documentation: “Model Armor uses Identity and Access Management (IAM) to control access to resources.”
• Model Armor depends on Private Service Connect From the official documentation: “When you restrict Model Armor within a perimeter, you must use a Private Service Connect endpoint for Model Armor to function as expected with VPC Service Controls.”
• Model Armor works with Private Service Connect From the official documentation: “Establish a Private Service Connect to the Model Armor APIs.”
• Model Armor depends on Sensitive Data Protection From the official documentation: “For the Sensitive Data Protection advanced mode, Model Armor redacts images only if you configured Model Armor filters with a Sensitive Data Protection inspect template and a Sensitive Data Protection de-identify template.”
• VPC Service Controls secures Model Armor From the official documentation: “The API for Model Armor can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• BigQuery works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze BigQuery data.”
• 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 Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Cloud Storage From the official documentation: “External BigQuery data source backed by Cloud Storage”
• VPC Service Controls secures BigQuery From the official documentation: “BigQuery data is protected with VPC Service Controls”
• BigQuery works with Cloud Monitoring From the official documentation: “You can use Monitoring to export your metrics to BigQuery.”
• Identity and Access Management secures Cloud Service Mesh From the official documentation: “Access to Cloud Service Mesh in the Google Cloud console is controlled by [Identity and Access Management (IAM)](/iam/docs/overview).”
• Cloud Run works with Cloud Storage From the official documentation: “Route Cloud Storage events to Cloud Run”
• BigQuery is an alternative to Google Cloud Storage From the official documentation: “The training data can be either a CSV file in Cloud Storage or a table in BigQuery.”
• BigQuery works with Google Cloud Storage From the official documentation: “Load Cloud Storage data into BigQuery”
• Cloud Logging works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh stores the dry-run results to Cloud Logging in the following labels:”
• Cloud Monitoring works with Cloud Service Mesh From the official documentation: “Mesh telemetry is no longer automatically ingested into Cloud Monitoring.”
• Cloud Run works with Cloud Service Mesh From the official documentation: “This section shows you how to troubleshoot common errors with Cloud Service Mesh and Cloud Run.”
• Cloud Service Mesh works with VPC Service Controls From the official documentation: “You can now use VPC Service Controls with Cloud Service Mesh.”
• Cloud Storage works with Sensitive Data Protection From the official documentation: “Uses the Data Loss Prevention API to analyze a file on GCS.”
• 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.”
• BigQuery works with Cloud Audit Logs From the official documentation: “Cloud Audit Logs maintain a record of Google Cloud events, including BigQuery events.”
• Cloud Load Balancing works with Cloud Service Mesh From the official documentation: “Cloud Service Mesh works with Cloud Load Balancing to provide a managed ingress experience.”
• Cloud Storage works with Identity and Access Management From the official documentation: “To learn how to use IAM with Cloud Storage, see [Using IAM Permissions](/storage/docs/access-control/using-iam-permissions).”
• Vertex AI is part of Gemini Enterprise Agent Platform From the official documentation: “Vertex AI's services are now part of 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.”
• Apigee works with Private Service Connect From the official documentation: “Network connectivity issues between Apigee and a southbound target service connected by Private Service Connect.”
• 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.”
• Cloud Logging works with Cloud Storage From the official documentation: “Cloud Storage writes various log entries to Cloud Logging in the Google Cloud console.”
• Identity and Access Management secures BigQuery From the official documentation: “Access to BigQuery data from AlloyDB is managed through IAM.”
• Identity and Access Management secures Cloud Storage From the official documentation: “Cloud Storage uses Identity and Access Management (IAM) for authorization.”
• BigQuery depends on Cloud Logging From the official documentation: “BigQuery utilizes Cloud Logging for some of your log data.”
• BigQuery works with Identity and Access Management From the official documentation: “BigQuery uses Identity and Access Management (IAM) for authorization.”
• Cloud Audit Logs works with Cloud Storage From the official documentation: “Use Cloud Audit Logs to generate logs for API operations performed in Cloud Storage.”
• Cloud Run works with Google Cloud Storage From the official documentation: “The Cloud Run function will receive syslog messages from FortiEDR via HTTP and write them to GCS.”
• Cloud Run works with Vertex AI From the official documentation: “The Cloud Run service can interact with Vertex AI services.”
• Cloud Service Mesh works with Identity and Access Management From the official documentation: “For information about how and which permissions are evaluated for each method, see the Identity and Access Management documentation for Cloud Service Mesh.”
• Identity and Access Management secures Vertex AI From the official documentation: “A Vertex AI model with an active endpoint that you have Identity and Access Management (IAM) permission to access.”
• Private Service Connect works with VPC Service Controls From the official documentation: “VPC Service Controls that use Private Service Connect”
• VPC Service Controls secures Gemini Enterprise Agent Platform From the official documentation: “The API for Agent Platform can be protected by VPC Service Controls and the product can be used normally inside service perimeters.”
• 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:”
• BigQuery works with Cloud Run From the official documentation: “You can then use Cloud Run to transcode data present in the bucket and move it to BigQuery.”
• BigQuery works with Vertex AI From the official documentation: “The page provides guidance for getting predictions from Vertex AI, based on retail [data exported into BigQuery](/retail/docs/export-data-into-bq).”
• Cloud Load Balancing works with Cloud Monitoring From the official documentation: “Key performance and health metrics reported by Cloud Monitoring for Cloud Load Balancing resources.”
• Cloud Logging works with Cloud Monitoring From the official documentation: “If a log entry matches the filter of the alerting policy, then Cloud Logging extracts labels and forwards the data to Cloud Monitoring.”
• Cloud Logging works with Cloud Run From the official documentation: “Cloud Logging captures, stores, and analyzes Cloud Run logs.”
• Cloud Logging is an alternative to Google Cloud Storage From the official documentation: “When you specify your own service account for builds, you must store your build logs in a Cloud Logging bucket, in a user-created Cloud Storage bucket, or in a Google Cloud-created and user-owned Cloud Storage bucket.”