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Microsoft Azure • Data Discovery • Cloud Security

Discover and Protect Sensitive Data Across Microsoft Azure.

BigID connects natively to Microsoft Azure to discover, classify, and contextualize sensitive data across Azure Blob Storage, Azure Files, Azure Data Lake, Azure SQL, Cosmos DB, Microsoft 365, streaming pipelines, and third-party platforms deployed in Azure.

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 Azure environments.

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Microsoft Azure Data Coverage

How Does BigID Discover Sensitive Data Across Microsoft Azure?

BigID connects natively to Azure services and performs content-based inspection across structured, semi-structured, unstructured, SaaS, and streaming environments. It classifies sensitive data, correlates findings with access context, and extends unified policy across Azure workloads and connected enterprise systems.

01

Broad Azure Coverage

Scan Blob Storage, Azure Files, Data Lake, Azure SQL, Cosmos DB, Microsoft 365, and connected platforms.

02

Content Inspection

Analyze actual data values instead of relying only on schemas, metadata, file names, or resource properties.

03

Exposure Context

Connect sensitive data with permissions, sharing, identity, ownership, access, and cloud exposure.

04

Unified Governance

Apply consistent classification and policy across cloud, SaaS, analytics, streaming, AI, and hybrid environments.

Coverage Across Microsoft Azure

Discover Sensitive Data Across Azure Services.

BigID provides unified visibility across Azure storage, databases, data lakes, collaboration services, streaming pipelines, and third-party platforms.

01
Object and File Storage

Azure Blob Storage and Azure Files

Discover sensitive information across documents, archives, exports, application files, logs, datasets, and unstructured objects stored across Azure storage environments.

Visibility into Storage accounts, containers, files, objects, contents, permissions, sharing, ownership, age, and lifecycle context.
02
Data Lakes and Analytics

Azure Data Lake and Analytics Workloads

Inspect cloud data used across analytics, machine learning, reporting, and AI programs to identify sensitive, regulated, high-value, and proprietary information.

Visibility into Data lakes, files, datasets, analytical workloads, sensitive attributes, business context, and AI data pipelines.
03
Managed Databases

Azure SQL and Cosmos DB

Classify sensitive information across managed relational, NoSQL, and distributed databases supporting enterprise applications and cloud-native workloads.

Visibility into Databases, tables, columns, records, schemas, regulated fields, application information, and business data.
04
SaaS and Data Pipelines

Microsoft 365, Streams, and Connected Platforms

Extend discovery across Microsoft 365 and SharePoint, Kafka and API-based data flows, plus Databricks, Snowflake, and other platforms operating within Azure.

Visibility into Collaboration content, documents, streaming records, ingestion paths, connected services, AI data flows, and downstream destinations.
The BigID Advantage for Microsoft Azure

Connect Cloud Data Discovery With Risk and Governance Context.

Azure Data Intelligence

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

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

01

Broad Service Coverage

Discover data across object storage, data lakes, managed databases, collaboration systems, and streaming pipelines.

02

Content-Based Classification

Inspect actual values to identify personal, financial, employee, regulated, proprietary, and custom-defined data.

03

Access and Exposure Context

Correlate sensitive data with permissions, identities, sharing, ownership, access, and overexposure.

04

Hybrid and Multi-Cloud Visibility

Extend consistent discovery across Azure, SaaS, on-prem environments, other clouds, and business units.

05

Cloud-Native Deployment

Support Azure Marketplace and containerized deployment using Docker and Kubernetes for scalable cloud integration.

06

Unified Enterprise Governance

Connect Azure findings with SaaS, cloud warehouses, streaming systems, data lakes, and AI environments.

Technical Advantages

Cloud-Native Discovery for Distributed Azure Environments.

BigID supports content-level cloud scanning, hybrid and streaming environments, containerized deployment, and unified classification across Microsoft Azure and the broader enterprise.

01

Content-Based Cloud Scanning

Inspect actual values across Azure storage, databases, data lakes, collaboration services, and analytics platforms.

02

Hybrid and Streaming Coverage

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

03

Cloud-Native Deployment

Support Azure Marketplace plus Docker and Kubernetes deployments aligned with modern Azure architectures.

04

Unified Classification

Extend consistent sensitivity labels and policies across Azure, Microsoft 365, SaaS, other clouds, warehouses, data lakes, and AI systems.

Microsoft Azure Data Protection

Bring Sensitive Data Visibility Across Your Azure Estate.

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

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Microsoft Azure Data Coverage

Microsoft Azure Data Discovery and Classification Frequently Asked Questions.

Which Microsoft Azure services does BigID support?
BigID supports discovery across Azure Blob Storage, Azure Files, Azure Data Lake, Azure SQL, Cosmos DB, Microsoft 365 services, streaming pipelines, and third-party platforms running in Azure environments.
Does BigID scan data at rest and in motion within Azure?
Yes. BigID supports scanning data stored within Azure services as well as data moving through streaming pipelines, APIs, ingestion systems, and connected services.
Can BigID integrate with Microsoft Information Protection labels?
Yes. BigID can integrate with Microsoft Information Protection to support consistent sensitive-data labeling and classification across Azure and Microsoft environments.
How does BigID deploy within Microsoft Azure?
BigID supports Azure Marketplace deployment and modern containerized environments using Docker and Kubernetes.
How do organizations use Azure discovery results?
Teams use BigID findings to build sensitive-data inventories, validate policy alignment, assess access and exposure risk, support compliance, prioritize remediation, and extend governance across cloud environments.
Microsoft Azure Data Intelligence

Get Complete Visibility Into Sensitive Data Across Microsoft Azure.

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

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