Protegrity & Microsoft Azure
overview
Azure modernization can move sensitive information across ingestion, storage, integration, analytics, and AI services. Protegrity helps organizations maintain persistent, field-level protection across these environments so sensitive data can remain governed as workloads move from on-premises systems into Azure and downstream data platforms.
Protegrity supports protection patterns across Azure Data Factory, Azure Event Hubs, Azure Synapse Analytics, Databricks, Snowflake on Azure, Microsoft Fabric workflows, and other supported environments. Tokenization, encryption, masking, anonymization, and controlled access can be applied according to centrally managed policy as sensitive data moves between applications, pipelines, analytics, and AI workloads.
Key Integration Feature
Protegrity extends persistent, field-level data protection across Microsoft Azure data workflows, helping organizations protect sensitive information as it moves through cloud migration, integration, analytics, AI/ML, and data-sharing environments.
Protegrity Cloud API runs within an Azure Function App, allowing protection operations to execute within the customer’s Azure environment. Centrally managed Protegrity policy can be distributed through Azure Blob Storage and used by the protection service at runtime, while Azure Key Vault, identity controls, and monitoring services support the surrounding Azure architecture.
Features & Capabilities
Protect sensitive data across Azure cloud services and modern data workflows while maintaining centralized policy and keeping protected information useful for approved analytics, AI, integration, and data-sharing needs.
01
Cloud-Native Serverless Architecture: Scale Protection with Azure Workloads
Why It Matters
Cloud workloads can vary significantly between batch processing, streaming, analytics, and AI use cases. A serverless protection architecture allows organizations to place data protection close to Azure workloads without maintaining dedicated protection infrastructure for every processing path.
How It Works
Protegrity Cloud API incorporates Protegrity protection capabilities within an Azure Function App. The service can process protection requests through Azure’s serverless architecture while using centrally managed Protegrity policy to determine how selected sensitive data should be handled.
02
Centralized Policy Management: Consistent Protection Across Hybrid Environments
Why It Matters
Sensitive data may move between on-premises systems and multiple Azure services. Managing separate protection rules for each environment can create policy drift and increase operational complexity.
How It Works
Protegrity Enterprise Security Administrator (ESA) centrally manages data protection policy. For the Azure Cloud API architecture, encrypted policy packages can be distributed through Azure Blob Storage and loaded by the protection service at runtime, with Azure Key Vault supporting protection of policy-related cryptographic material.
03
Advanced Data Protection Methods: Protect Sensitive Data While Preserving Utility
Why It Matters
Analytics, data engineering, and AI teams often need meaningful information without requiring access to original sensitive values. Selecting the appropriate protection method can reduce exposure while preserving the characteristics required by downstream workloads.
How It Works
Protegrity supports protection methods including vaultless tokenization, encryption, masking, and anonymization for sensitive structured and semi-structured data. Depending on the method and workload, protected datasets can continue supporting analytics, integration, AI/ML, and other approved data uses without broadly exposing original values.
04
Integration Across the Azure Ecosystem: Protect Data Where It Is Processed
Why It Matters
Sensitive data can pass through multiple services as organizations ingest, transform, store, analyze, and share information in Azure. Applying protection within those processing paths helps maintain consistent control as architectures become more distributed.
How It Works
Protegrity supports integration patterns across Azure services and platforms including Azure Data Factory, Azure Event Hubs, Azure Synapse Analytics, Databricks, Snowflake on Azure, and Microsoft Fabric workflows. This allows protection to be incorporated across ingestion, processing, analytics, and data-sharing architectures rather than being limited to a single storage layer.
05
Cloud Migration, Analytics & AI Enablement: Put Protected Data to Work
Why It Matters
Moving sensitive workloads into Azure can expand the number of systems, applications, and teams interacting with regulated or confidential information. Protection that remains with sensitive fields can help organizations modernize data use without unnecessarily expanding exposure.
proof or example
Sensitive fields can be protected as data enters Azure and remain tokenized, encrypted, masked, or otherwise de-identified as they move into approved analytics, AI/ML, and data-sharing workflows. Centrally managed policy determines how protected data is handled and when authorized workflows may access original values.
Architecture &
Sample Data Flow
Protegrity extends centrally managed data protection across on-premises and Microsoft Azure environments through a distributed architecture. Protegrity Enterprise Security Administrator (ESA) provides the central policy layer, while Azure-based policy and protection components distribute and enforce those policies close to the workloads where sensitive data is stored, processed, and moved.
Within Azure, Protegrity can integrate protection across data ingestion and processing services such as Azure Event Hubs and Data Factory, as well as database, Snowflake, Starburst, and Databricks environments. Platform-specific protectors, APIs, UDFs, and protection services allow sensitive data to remain protected as it moves from source systems into cloud data stores, analytics, and downstream workloads.
The data journey
Visualizing the data journey
The data journey
The data journey explained
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01
Define and Distribute Protection Policy
Protection policies are centrally managed through Protegrity ESA and distributed to supported enforcement components across on-premises and Azure environments.
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02
Protect Data During Ingestion and Processing
Sensitive information can be protected as it enters Azure through services such as Event Hubs and Data Factory or as it moves through supported application and data-processing workflows.
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03
Maintain Protection Across Data Platforms
Platform-specific protection patterns extend Protegrity controls into database, Snowflake, Starburst, and Databricks environments so sensitive fields can remain protected across storage and processing layers.
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04
Use Protected Data for Analytics and AI
Protected datasets can continue into approved analytics, data engineering, and AI/ML workloads when the selected protection method preserves the characteristics required by the use case.
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05
Control Access to Sensitive Values
Protegrity policy determines how protected information is handled and when authorized users or workflows may access original values.
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06
Monitor Protection Operations
Protection and policy activity can be incorporated into the monitoring and audit capabilities configured for the Protegrity and Azure deployment.
DEPLOYMENT
Protegrity supports a distributed deployment model across on-premises and Microsoft Azure environments. Enterprise Security Administrator (ESA) provides centralized policy management, while Azure-based policy, protection, and platform-specific enforcement components apply those controls close to where sensitive data is stored, processed, or moved.
Enterprise Security Administrator
Policy Distribution & Key Management
Azure Protection Services
Database & Analytics Platforms
Azure Data Integration
Identity & Access
RESOURCES
Explore technical resources for deploying, configuring, and managing Protegrity data protection across Microsoft Azure environments. The original Solutions document calls for resources for both technical and non-technical audiences.
Protegrity Documentation Center
Access technical guidance for Protegrity protection methods, policy management, protectors, deployment, configuration, and supported environments.
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