Data Virtualization and Privatization Services

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

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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 dozens of systems such as ERP, CRM, SaaS platforms, and on-prem databases, each holding critical data. Moving or copying this data introduces delays, increases costs, and creates compliance risks. At the same time, privacy regulations require strict protection of sensitive information across every environment.

LevelShift solves both problems simultaneously: virtualizing your data so you can use it instantly and privatizing it so you can use it safely.

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What Virtualization + Privatization Can Offer

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.

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

As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.

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Our Implementation Approach

1

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

2

Design virtualization layers, security controls, and privacy frameworks.

3

Implement connectors, catalogs, masking, and access policies.

4

Validate security, performance, lineage, and compliance.

5

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

6

Monitor usage, certify access, and continuously optimize.

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
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner
Microsoft Solutions Partner

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

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.

Ready to modernize your data access and strengthen compliance?

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