Protegrity & Denodo
Live Demo
View DemoProtegrity Native
Native integration embeds Protegrity protection directly into Denodo’s virtualization layer—so sensitive fields are protected at query time with centralized policy and audit logging.
Integration type
- Federated Engine
Partner
Yes
Supported platforms
- AWS
- Azure
- GCP
overview
The Protegrity and Denodo integration delivers persistent, field-level data protection within Denodo’s data virtualization layer, enabling secure, compliant, and seamless access to distributed data sources.
By combining Denodo’s unified access with Protegrity’s policy-based tokenization, encryption, and masking, organizations can enable governed self-service analytics, secure data products, and privacy-first AI pipelines across cloud, on-prem, and hybrid environments. Protection is enforced at the point of access, with centralized policies, audit logging, and role-based controls that help meet requirements like GDPR, HIPAA, and PCI-DSS.
Key Integration Feature
The Protegrity and Denodo integration empowers organizations to securely access and analyze distributed data across hybrid, multi-cloud, and on-premises environments by combining Protegrity’s granular data protection with Denodo’s powerful data virtualization platform. Persistent, field-level protection is applied directly within the virtualized data layer, ensuring sensitive information remains governed and compliant while enabling secure collaboration across departments, partners, and geographies without moving or replicating raw data.
This joint solution removes barriers to data accessibility, accelerates decision-making, and simplifies compliance in regulated industries such as financial services, healthcare, and manufacturing—delivering a trusted foundation for secure, agile innovation where virtualized data is protected, accessible, and actionable at scale.
Features & Capabilities
Enable secure self-service access across Denodo virtual views. Protegrity protects sensitive fields at query time while preserving performance and usability.
01
Unified Data Security: Protect everywhere, enforce centrally
Why it matters
Sensitive data such as PII, PHI, and financial information remains protected across all Denodo-connected sources, while policies are managed from a single control point.
How it works
A global bank uses Protegrity with Denodo to tokenize customer identifiers across multiple databases, enabling analysts to query unified views without exposing raw values.
02
Native Virtualization Integration: Security built into the data fabric
Why it matters
Protegrity’s encryption, tokenization, and masking integrate seamlessly into Denodo’s virtualization layer—eliminating the need for data movement or duplication.
How it works
Customers maintain fast query performance across federated data sources, even when sensitive data is persistently protected.
03
Trusted Data Collaboration: Share confidently across ecosystems
Why it matters
Consistent, persistent protection policies travel with the data, ensuring secure access for internal teams, subsidiaries, and external partners.
How it works
A healthcare provider leverages Denodo + Protegrity to share virtualized, de-identified patient records with research institutions, supporting HIPAA-compliant innovation.
04
Analytics & AI Empowerment: Insights without compromise
Why it matters
Protected data can still be analyzed, visualized, and used to train AI/ML models—maximizing business value while minimizing compliance risk.
How it works
A retail enterprise combines tokenized sales and customer data from multiple systems through Denodo to build advanced recommendation models without PCI violations.
05
Simplified Compliance: Regulations met by design
Why it matters
Consistent application of Protegrity’s protection across Denodo’s data virtualization environment helps meet GDPR, HIPAA, PCI-DSS, and other regulatory requirements.
How it works
Enterprises cut compliance audit preparation time by 40% through centralized reporting of Protegrity’s protection policies within Denodo.
Architecture &
Sample Data Flow
At the foundation of the Protegrity–Denodo integration is an architecture built to deliver persistent, field-level protection directly within Denodo’s virtual data layer. Instead of moving or replicating data, Protegrity safeguards sensitive information at the point of access—whether it originates from on-premises databases, cloud platforms, or hybrid environments. This ensures that data remains consistently protected as it is virtualized, queried, and delivered across the enterprise.
The data journey
Visualizing the data journey
The data journey
The data journey explained
- 01
Data Ingestion
Protegrity-enabled connectors ensure that as data from ERP, CRM, and other systems is virtualized in Denodo, sensitive fields are automatically identified and prepared for protection.
- 02
Data Protection & Transformation
Protegrity enforces encryption, tokenization, or masking policies at the field level, during query execution or transformation within Denodo. Centralized policies applied via Protegrity APIs ensure consistency across all data sources.
- 03
Data Consumption & Analytics
Analysts and business users can query unified Denodo views without accessing sensitive raw data. Protected datasets remain fully usable for BI dashboards, reporting, and operational queries.
- 04
AI/ML Enablement
De-identified or tokenized datasets are securely delivered through Denodo to AI/ML pipelines, enabling predictive modeling and advanced analytics without risking exposure of sensitive values.
- 05
Data Sharing & Collaboration
Denodo’s data virtualization and delivery capabilities are enhanced by Protegrity’s persistent protection, ensuring that shared datasets remain secure across geographies, subsidiaries, or partner ecosystems.
- 06
Monitoring & Auditing
All Protegrity protection activities in Denodo are logged for auditability. Detailed reports and automated alerts allow organizations to demonstrate compliance with GDPR, HIPAA, PCI-DSS, and other regulations.
Use Cases
See how organizations use Protegrity and Denodo to enable secure federated analytics and AI on protected data.
Finance
Securing Customer Data Across Distributed Systems
Challenge
Financial institutions often hold sensitive customer data such as account numbers, card details, and transaction histories across multiple siloed systems—on-premises and in the cloud. This fragmentation complicates compliance with regulations like PCI-DSS and GDPR, while slowing down analytics and innovation.
Solution
With Protegrity integrated into Denodo, banks can apply tokenization or encryption at the field level across all virtualized data sources. Denodo delivers unified, protected views of customer data without moving or replicating it, enabling analysts and data scientists to perform queries, build dashboards, and develop fraud detection models without exposing raw PII.
Result
A global financial institution reduced compliance reporting efforts by 40% and accelerated fraud detection, while maintaining PCI compliance and unlocking real-time analytics across its distributed data estate.
Healthcare Payers
Secure Virtualized Data Sharing for Research
Challenge
Healthcare providers need to collaborate with external research partners but face strict HIPAA and GDPR compliance requirements. Patient data (PHI) spread across multiple hospital systems cannot be easily shared without violating privacy regulations.
Solution
Protegrity’s integration with Denodo applies tokenization and dynamic masking to PHI directly in the virtualized data layer. Researchers and clinicians access de-identified, federated views through Denodo, while sensitive raw values remain protected at the source. This enables secure data delivery to partners without requiring replication of patient records.
Result
A major healthcare network securely shared de-identified patient datasets with research institutions, reducing time-to-insight for clinical trials by 30% while ensuring full HIPAA compliance across its federated systems.
DEPLOYMENT
Deployment of Protegrity Data Protection with Denodo is typically executed by Denodo SMEs, using a well-defined integration approach that embeds Protegrity’s protection capabilities directly into Denodo’s virtualization layer.
Integration via Custom Functions (UDFs):
Policy Enforcement in Action:
Enterprise Deployment Pattern:
Scalable and Secure Architecture:
RESOURCES
Guides and references for building governed analytics and AI workflows with Denodo—while enforcing Protegrity’s field-level tokenization, encryption, and access controls at query time.
Protegrity Integration with Denodo
Step-by-step instructions to deploy Protegrity protection in Denodo—UDFs, view patterns, performance tuning, and governance workflows for secure data access.
READ MOREDocs Center
Explore product docs for tokenization, encryption, masking, policy administration, audit logging, and AI-ready governance—plus reference architectures and best practices.
READ MOREFrequently
Asked Questions
Protegrity integration with Denodo is typically configured by Denodo SMEs. It leverages User-Defined Functions (UDFs) that call Protegrity’s Java Application Protector (AP Java) SDK. These UDFs communicate with the Protegrity Protect Enforcement Platform (PEP) server to apply or reverse protection dynamically at query time, ensuring sensitive data is secured without requiring replication or movement.
Protegrity integrates with Denodo’s data virtualization layer, federated query engine, and RBAC framework. Protection is enforced at the field level within Denodo views, meaning tokenization, encryption, and masking policies can be applied dynamically across all connected data sources.
Protegrity protects structured and semi-structured data accessed through Denodo, including personally identifiable information (PII), protected health information (PHI), payment card data, and other regulated or sensitive business records.
By enforcing centralized, policy-driven data protection—such as tokenization, encryption, and dynamic masking—Protegrity ensures compliance with GDPR, HIPAA, PCI-DSS, and other privacy mandates. Since policies are enforced at query time in Denodo, compliance is maintained consistently across all virtualized sources.
Minimal. The PEP server runs alongside the Denodo Virtual DataPort Server, ensuring local enforcement of protection policies. UDFs are lightweight and optimized for parallel execution, minimizing latency even for high-volume queries across multiple federated sources.
Yes. Data protected with Protegrity remains fully usable. Analysts and data scientists can query tokenized or masked datasets through Denodo, and securely deliver de-identified data into downstream BI, reporting, and AI/ML pipelines—without exposing raw sensitive fields.
Protegrity generates detailed logs of all protection and unprotection events. These logs can be integrated with enterprise monitoring and audit systems, giving compliance teams the ability to demonstrate adherence to regulations while providing operational visibility and proactive alerts.
The integration is particularly valuable in finance, healthcare, retail, and government sectors, where sensitive data is distributed across multiple platforms. Use cases include fraud detection, HIPAA-compliant patient data sharing, secure omnichannel analytics, and privacy-preserving cross-organization collaboration.
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Protegrity
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