Data Security Services

Protect critical data across every system while enabling real-time reporting, analytics, and AI at scale.

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Struggling to locate sensitive data across expanding data environments?

Our services help organizations discover, classify, and continuously track sensitive data across structured and unstructured systems.

Need to protect data while enabling analytics, testing, or cloud migration?

Through data anonymization and masking services, we enable secure, policy-compliant data usage across teams and platforms.

Concerned about securing data access across hybrid and multi-cloud?

We deliver encryption, access controls, monitoring, and threat detection services to safeguard data wherever it resides.

Safeguard sensitive data without slowing innovation

Many organizations want to modernize with Microsoft Fabric, adopt AI, or support analytics, but struggle because the data itself is not secure.

LevelShift helps you remove this barrier. We combine Microsoft Purview and Perforce Delphix Compliance Services to discover sensitive data, classify it, mask it, and enforce strong access, ensuring that every record is compliant and protected.

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LevelShift's Data Security Strategy

When your data begins to spread across clouds, apps, and systems, security becomes both essential and challenging. We help you:

Identify PII, PHI, PCI, and confidential fields using automated discovery and scanning

Apply dynamic masking and anonymization across production and non-production systems

Enforce Purview driven policy governance, lineage, and access controls

Generate synthetic data for testing, analytics, or AI without exposing real identities

Inspect risk posture with continuous compliance checks and activity auditing

Our Data Security Services

Data Engineering Services Illustration

Sensitive Data Discovery and Classification

Identify PII, PHI, PCI, and regulated data across structured and unstructured sources using Microsoft Purview scans and DCS-led discovery. This enables continuous visibility and accurate classification as data environments expand.

Masking, Tokenization, and Anonymization

Implement real-time masking, encryption, redaction, tokenization, and pseudonymization to protect sensitive data across environments. Data remains usable for analytics, testing, and operational needs without increasing risk.

Synthetic Data for Non-Production Use

Create realistic synthetic datasets that safely support development, QA, analytics, and AI workloads. This reduces reliance on production data while maintaining data fidelity for testing and innovation.

Policy Governance and Access Controls

Design and enforce data policies, roles, RBAC, and data boundaries using Microsoft Purview. Governance is applied consistently across platforms, teams, and data domains.

Compliance Monitoring and Risk Assessments

Conduct ongoing audits, compliance checks, lineage validation, and reporting to identify risks early. This helps maintain regulatory readiness and audit confidence.

Security Architecture Integration

Integrate privacy and security controls into data pipelines, warehouses, APIs, and cloud platforms. Security is embedded into the data architecture, not added as an afterthought.

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 Data Security Framework

1

Discover sensitive fields and access risks

2

Design security and governance models

3

Deploy privacy and access policies

4

Validate masking and compliance audit

5

Scale secure access for BI and AI initiatives

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Govern continuously with monitoring and optimization

Why LevelShift

  • Purview governance accelerators and lineage frameworks
  • Zero trust policies and role governed secure access
  • Cloud, hybrid, and on-premise security maturity experience
  • Automated synthetic data generation for safe lower environments
  • Global Strategic Partner of Perforce and Fabric Featured Partner
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

FAQs

We apply algorithmic masking, tokenization, referential-integrity preservation, and synthetic dataset generation so lower environments mirror production behavior without exposing real identities or financial/sensitive data.

Yes. Purview governance policies, adaptive DLP, access controls, rule-based classification, and DCS compliance jobs can be orchestrated to dynamically mask, restrict, or anonymize sensitive fields at query time and during provisioning.

Yes. We apply Purview-led classification, DCS masking policies, data contracts, column-level encryption, and secure API-entry points to Fabric pipelines, warehouses, event streams, and lakehouses without breaking SLA windows.

Using Delphix DCS and Purview, we fully anonymize source-to-target transfers, apply location-based masking, role-based conditional visibility, referential-safe obfuscation, and synthetic test data packs for high-risk fields.

We drive policy design, auto-classification, DCS rule libraries, domain-aligned access frameworks, metadata onboarding, rollout governance committees, and remediation playbooks so Purview becomes an active enforcement layer, not a passive inventory.

Yes. We secure data flows, pipelines, warehouses, API endpoints, and integrations across Azure, Fabric, SaaS, and multi cloud workloads.

Secure sensitive information, eliminate compliance risks, and enable innovation with LevelShift.

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