Data Virtualization and Privatization Services

Delivering a unified virtual data layer for analytics and AI while protecting sensitive data through automated privatization.

Data scattered across SaaS apps, cloud platforms, and legacy systems?

Our data virtualization services unify enterprise data into a single, real-time access layer, eliminating silos without replication or disruption.

Struggling to protect PII while enabling analytics, testing, or AI?

Through our automated masking and anonymization solutions, sensitive data remains protected while teams continue to innovate with confidence.

Facing governance gaps across hybrid and multi-cloud environments?

We enforce privacy, access controls, lineage, and compliance across all data sources, reducing risk and improving trust.

Real-time access. Zero replication. Privacy by design.

Enterprises rely on data spread across ERPs, CRMs, SaaS applications, and on-premises databases. Replicating this data increases costs, delays access, and creates compliance risks.

LevelShift virtualizes data for instant access and privatizes it for secure use. IDC Business Value research found that Delphix customers achieved an average 82% reduction in storage footprint through data virtualization.

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Our Services

Virtualized Data Access Layer

Create a governed, real-time access layer across cloud, on-prem, and SaaS without moving data, reducing latency and data duplication.

Real-Time Integration and Semantic Modeling

Provide instant, unified datasets for BI, analytics, and AI using virtualization tools and metadata, with consistent business definitions.

Sensitive Data Discovery and Classification

Automatically detect PII, PHI, and confidential fields across structured and unstructured sources, at scale and continuously.

Dynamic Masking and Tokenization

Protect sensitive data during access with real-time masking, pseudonymization, and encryption, based on role and purpose.

Synthetic Data Generation for Safe Use

Generate realistic synthetic datasets for dev, testing, AI, and data sharing without exposing real data, while preserving statistical accuracy.

Governance and Compliance Automation

Enforce Purview governance, privacy-by-design, activity monitoring, and policy automation, across distributed data estates.

virtualization and privatisation Illustration

Our Implementation Approach

Map data sources, risks, gaps, and access patterns.

Design virtualization layers, security controls, and privacy frameworks.

Implement connectors, catalogs, masking, and access policies.

Validate security, performance, lineage, and compliance.

Enable APIs, self-service access, and AI-ready datasets.

Monitor usage, certify access, and continuously optimize.

Customer Impact

Modernizing Database Virtualization for Faster, Leaner Development

For a leading U.S. retailer, maintaining 130 physical database copies created long refresh cycles, high infrastructure costs, and delays for development teams. By implementing Perforce Delphix Virtual Databases (VDBs), LevelShift transformed database provisioning into a self-service, storage-efficient model that accelerated development while significantly reducing operational overhead.

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98% Faster Data Refresh

Reduced environment refresh times from hours to minutes, enabling development and testing teams to access current data significantly faster.

90% Reduction in Storage Costs

Replaced 130 physical database copies with lightweight virtual databases, dramatically lowering storage consumption and infrastructure costs.

5x More Frequent Environment Refreshes

Enabled self-service database provisioning, allowing development teams to refresh environments on demand without relying on operations teams.

Why LevelShift

Governance-first expertise using Purview and Perforce
Hybrid and multi-cloud specialists across ecosystems
Zero-replication virtualization that reduces cost & complexity
Masking and synthetic data with Perforce and Microsoft
AI-ready, governed access for ML and Copilot

Where are you in your Data Transformation Journey?

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Data Modernization Your Path to Data Transformation

Our Perspectives

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FAQs

Data virtualization creates a real-time access layer that brings everything together where it lives, while data privatization protects sensitive information through masking, anonymization, and synthetic data.

Data Virtualization Services:

Build real-time, governed virtual data layers.
Integrate cloud, on-prem, and SaaS without moving data.
Create virtual semantic models for BI, analytics, and AI.
Enable unified access using metadata, catalogs, and lineage.

Data Privatization Services:

Automated discovery and classification of sensitive fields (PII/PHI/PCI).
Dynamic masking, tokenization, pseudonymization, and encryption.
Synthetic data generation for testing and AI development.
Privacy-by-design architecture aligned with GDPR, HIPAA, SOC2, ISO.

No. Data virtualization provides real-time access to data where it resides, eliminating the need to copy, replicate, or relocate data across systems.

Yes. LevelShift enables dynamic, policy-driven masking, tokenization, and pseudonymization at query time—ensuring sensitive data is protected during access without impacting usability.

LevelShift supports enterprise-grade virtualization platforms and cloud-native technologies, including Microsoft Fabric, Azure services, Denodo, and API-based integration frameworks.

Yes. Synthetic datasets preserve the statistical patterns and relationships of real data, making them suitable for testing, analytics, and AI development without exposing sensitive information.

Governance is enforced through centralized policies, metadata management, lineage tracking, and access controls using platforms such as Microsoft Purview across cloud, on-prem, and SaaS environments.

Yes. The approach is designed to support AI and ML by providing real-time, governed, and privacy-safe access to data, including AI-ready and Copilot-enabled datasets.