Data Security Services
Data and AI security services for your cloud, analytics and AI workloads
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
A study by IBM found that 40% of data breaches involved data stored across multiple environments, while more than one-third involved shadow data residing in unmanaged sources. With the rise of AI adoption, Gartner also reported that over 57% of employees use personal GenAI accounts for work purposes, and 33% admit to entering sensitive information into unapproved tools — exposing significant gaps in traditional security frameworks.
We at LevelShift help enterprises establish zero-trust data architectures to secure sensitive data across AI, analytics, and cloud environments. Leveraging technologies such as Perforce Delphix, Microsoft Purview, and Unity Catalog, we deliver enterprise-grade data and AI security services spanning data masking, access governance, secure analytics, and AI-ready data environments.
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Our Data Security Services
Data Protection & Zero-Trust Security Architecture
Data Masking, Tokenization & Privacy Protection
Synthetic Data & Secure Test Data Management
Cloud, Analytics & AI Platform Security
Policy Governance & Access Control Management
Compliance Monitoring & Risk Assessment
Talk to experts who will build your secure data foundations
Our Data Security Framework
Discover sensitive fields and access risks
Design security and governance models
Deploy privacy and access policies
Validate masking and compliance audit
Scale secure access for BI and AI initiatives
Govern continuously with monitoring and optimization
Accelerating Secure Data Delivery with Perforce Delphix
For one of Washington's largest credit unions, managing sensitive data across relational databases and flat files created challenges around consistent masking, referential integrity, and secure developer access. By implementing Perforce Delphix for automated data masking and virtualization, secure and compliant data delivery was accelerated across hybrid cloud environments while enabling rapid self-service access for development teams.
Read the full story2X Faster Secure Data Delivery
Accelerated application deployment timelines with rapid provisioning of secure, masked data environments.
Self-Service Data Access to 200+ Developers
Provided instant access to fresh, masked data copies while maintaining enterprise security and compliance standards.
680M+ Data Rows Masked in 15 Hours
Automated sensitive data masking across large-scale environments with consistent protection and referential integrity.
Why LevelShift
- Proven expertise in implementing Microsoft Purview-based governance solutions and lineage frameworks
- 20+ enterprise-scale zero-trust data environments and security architectures designed and implemented
- Deep expertise in Unity Catalog governance, fine-grained access policies, and secure lakehouse environments
- Global strategic partnership expertise with Perforce backed by multiple implementation accelerators
Where are you in your Data Transformation Journey?
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FAQs
We help organizations secure sensitive data across distributed cloud, analytics, and AI ecosystems through encryption, masking, role-based access controls, policy governance, and continuous monitoring. By combining technologies such as Microsoft Purview, Unity Catalog, and Delphix, we establish centralized visibility, secure access, and consistent protection across modern data environments.
The safest approach is to replace direct production copies with masked, tokenized, virtualized, or synthetic datasets. We help organizations accelerate development and testing using secure lower environment provisioning while reducing exposure to sensitive customer or regulated data.
We implement dynamic masking, anonymization, tokenization, and synthetic data generation to eliminate unnecessary exposure of sensitive information in non-production environments. This allows teams to work with realistic datasets without accessing actual customer identities or regulated data.
Modern enterprises require data accessibility for analytics and AI while maintaining strict security controls. We enable this balance through fine-grained access policies, zero-trust governance, masking controls, lineage visibility, and policy-driven access management that protect sensitive data without limiting innovation.
We design zero-trust data architectures that continuously validate identities, enforce least-privilege access, segment sensitive data, and monitor activity across cloud, analytics, and AI ecosystems. This reduces unauthorized access risks while strengthening governance and operational resilience.
Yes. We help organizations operationalize governance using Microsoft Purview through automated data discovery, classification, lineage tracking, policy governance, and access monitoring. This improves visibility, audit readiness, and compliance management across enterprise data estates.
We help secure Databricks lakehouse environments using Unity Catalog for centralized governance, fine-grained access controls, secure data sharing, lineage visibility, and policy enforcement. This enables organizations to scale analytics and AI workloads while maintaining strong data protection and governance standards.
Yes. LevelShift supports unified security and governance across cloud, hybrid, analytics, and AI ecosystems including Microsoft Fabric, Databricks, Azure, and on-premise environments. Our data security solutions help organizations establish consistent governance, access controls, masking policies, lineage visibility, and compliance monitoring across distributed data platforms.