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Google Cloud Platform • Data Discovery • Cloud Security

Discover and Protect Sensitive Data Across Google Cloud.

BigID connects natively to Google Cloud Platform to discover, classify, and contextualize sensitive data across BigQuery, Cloud Storage, Cloud SQL, Bigtable, Spanner, Google Workspace, streaming pipelines, and third-party platforms deployed in GCP.

Inspect actual data values, identify regulated and proprietary information, understand access and exposure risk, and extend consistent security, privacy, governance, retention, and AI policies across distributed Google Cloud environments.

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Google Cloud Data Coverage

How Does BigID Discover Sensitive Data Across Google Cloud?

BigID connects natively to Google Cloud services and performs content-based inspection across structured, semi-structured, unstructured, SaaS, and streaming environments. It classifies sensitive data, correlates findings with access and IAM context, and extends unified security, privacy, governance, retention, and AI policies across GCP projects and services.

Broad GCP Coverage Scan BigQuery, Cloud Storage, Cloud SQL, Bigtable, Spanner, Workspace, and connected platforms.
Content Inspection Analyze actual data values rather than relying only on schemas, metadata, or resource names.
Exposure Context Connect sensitive data with IAM roles, sharing, permissions, ownership, and cloud exposure.
Unified Governance Apply consistent classification and policy across cloud, SaaS, analytics, streaming, and AI environments.

Coverage Across Google Cloud

Discover Sensitive Data Across Google Cloud Services.

BigID provides unified visibility across Google Cloud storage, databases, analytics, collaboration, streaming, and third-party data environments.

01

Analytics and Warehousing

BigQuery and Analytics Data

Inspect BigQuery datasets, projects, tables, columns, and values to identify sensitive, regulated, high-value, and proprietary information used across analytics and AI programs.

Visibility into

Projects, datasets, tables, columns, values, analytics workloads, sensitive attributes, and business context.

02

Object and File Storage

Cloud Storage Buckets

Discover sensitive data across files, documents, exports, archives, logs, datasets, application content, and unstructured objects stored in Google Cloud Storage.

Visibility into

Buckets, objects, documents, file contents, sharing, permissions, ownership, age, and lifecycle context.

03

Managed Databases

Cloud SQL, Bigtable, and Spanner

Classify sensitive data across managed relational, NoSQL, and distributed database services used by enterprise applications, analytics, and cloud-native workloads.

Visibility into

Databases, tables, columns, records, schemas, distributed data, regulated fields, and application information.

04

SaaS and Data Pipelines

Workspace, Streams, and Third-Party Platforms

Extend discovery across Google Drive, Gmail, Kafka and API-based ingestion pipelines, plus platforms such as Databricks and Snowflake deployed within Google Cloud.

Visibility into

Collaboration content, email, streaming records, ingestion paths, third-party platforms, AI data flows, and downstream destinations.

The BigID Advantage for Google Cloud

Connect Cloud Data Discovery With Risk and Governance Context.

BigID combines content-based classification, cloud access intelligence, multi-project visibility, and enterprise policy to help teams understand and reduce sensitive-data risk across GCP.

Google Cloud Data Intelligence

Understand What Data Exists, Where It Lives, and How It Is Exposed.

BigID inspects actual data across Google Cloud, enriches findings with access and IAM context, and helps teams prioritize overexposed, over-permissioned, redundant, regulated, and high-risk information.

Broad Service Coverage Discover data across warehouses, object storage, managed databases, collaboration systems, and streaming pipelines.
Content-Based Classification Inspect actual values to identify personal, financial, employee, regulated, proprietary, and custom-defined data.
IAM and Exposure Context Correlate sensitive data with roles, permissions, sharing, ownership, access, and overexposure.
Multi-Project Visibility Extend discovery and governance across distributed GCP projects, accounts, services, and business units.
Cloud-Native Deployment Support containerized deployment using Docker and Kubernetes aligned with modern Google Cloud architectures.
Unified Enterprise Governance Connect GCP findings with SaaS, other clouds, data lakes, warehouses, streaming systems, and AI environments.

Technical Advantages

Cloud-Native Discovery for Distributed GCP Environments.

BigID supports content-level cloud scanning, hybrid and streaming data, scalable containerized deployment, and unified classification across Google Cloud and the broader enterprise.

01

Content-Based Cloud Scanning

Inspect actual values across BigQuery, Cloud Storage, databases, collaboration services, and analytics platforms.

02

Hybrid and Streaming Coverage

Discover data at rest and monitor data moving through Kafka, APIs, ingestion pipelines, and connected services.

03

Cloud-Native Deployment

Support containerized deployment using Docker and Kubernetes for scalable integration with Google Cloud architectures.

04

Unified Classification

Extend consistent sensitivity labels and policies across GCP, SaaS, other clouds, data lakes, warehouses, and AI systems.

Google Cloud Data Protection

Bring Sensitive Data Visibility Across Your Google Cloud Estate.

Discover regulated data across GCP, understand IAM and access risk, align classifications with cloud security controls, and extend consistent policy across analytics, SaaS, storage, databases, streaming, and AI environments.

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Google Cloud Platform Data Coverage

Google Cloud Data Discovery and Classification Frequently Asked Questions.

Which Google Cloud services does BigID support?

BigID supports discovery across BigQuery, Cloud Storage, Cloud SQL, Bigtable, Spanner, Google Workspace services, streaming pipelines, and third-party platforms deployed within Google Cloud.

Does BigID scan data at rest and in motion within GCP?

Yes. BigID supports scanning data stored in Google Cloud services and monitoring data moving through streaming pipelines and APIs.

Can BigID deploy natively within Google Cloud environments?

Yes. BigID supports containerized deployment using Docker and Kubernetes aligned with cloud-native Google Cloud architectures.

How does BigID classify sensitive data in BigQuery?

BigID performs content-based inspection of BigQuery data to identify regulated, confidential, personal, and proprietary information aligned with enterprise classification policies.

How do organizations use GCP discovery results?

Teams use BigID to generate sensitive-data inventories, assess cloud exposure risk, validate policy alignment, support compliance, and extend governance across Google Cloud environments.

Google Cloud Data Intelligence

Get Complete Visibility Into Sensitive Data Across Google Cloud.

Discover and classify sensitive cloud data, understand IAM and permission exposure, support compliance, and align Google Cloud analytics, storage, databases, SaaS, streaming, and AI workloads with enterprise governance.

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