Building reliable and compliant data foundations for AI-ready operations.
Sensitive data is identified, classified, and traced end to end across systems using automated discovery, lineage mapping, and centralized governance controls, removing blind spots and improving enterprise wide oversight.
Our team enforces policy driven access controls, masking, anonymization, and continuous compliance monitoring, reducing audit risk while ensuring regulated data is used safely and appropriately.
We define clear stewardship models, business glossaries, and certified datasets to establish shared definitions and accountability, enabling consistent reporting, trusted insights, and decision ready data.
As highlighted in the Forrester Wave™ Data Governance Solutions report, “Data governance has outgrown its compliance roots” and is now foundational to trust, agility, and scalable AI adoption across modern enterprises.
Yet many organizations still lack clear visibility into where sensitive data resides, who can access it, and whether governance policies are consistently enforced. LevelShift helps organizations address these challenges through data governance services aligned with regulatory and compliance requirements including GDPR, CCPA, HIPAA, PCI DSS, SOC 2, and ISO standards. Our approach enables sensitive data classification, policy enforcement, lineage visibility, identity-aware access controls, and continuous audit readiness across modern data ecosystems — without disrupting business operations.
This leading financial institution faced challenges managing regulatory compliance across massive datasets due to limited in-house expertise and complex Azure-Delphix integrations. By implementing a scalable data masking and automation framework powered by Azure and Perforce Delphix, the organization streamlined sensitive data management and achieved compliance at scale.
Read the full storyAccelerated compliance operations with automated workflows and scalable data masking.
Simplified onboarding and data management through automation and integrated tooling.
Ensured secure masking and governance for massive sensitive banking datasets (10–100TB).