DataStealth Data Protection vs Very Good Security (VGS): Side-by-Side Comparison (2026)

DataStealth Data Protection

SMB and mid-market teams protecting sensitive data across hybrid environments will see immediate ROI from DataStealth Data Protection because it masks and tokenizes data at the field level without requiring application rewrites, letting you secure production data for testing and analytics in weeks instead of months. The platform's policy-driven tokenization with deterministic, reversible, and time-bound options covers PR.DS requirements across on-premises and cloud simultaneously, and support for both structured and unstructured data means you're not swapping tools later. Skip this if your use case is primarily encryption at rest on a single cloud platform; DataStealth's strength is the granular, no-code flexibility needed when you're moving masked data between test environments.

Very Good Security (VGS)

Teams processing payments across multiple systems need Very Good Security to strip card data before it ever touches their application layer, cutting PCI DSS audit scope dramatically. The proxy-based tokenization handles format-preserving aliases so your systems work unchanged while sensitive data never enters your infrastructure, a deployment model that separates it from bolt-on encryption tools. This is less relevant for organizations with a single monolithic payment processor or those needing broader data masking across non-payment columns; VGS is payment-specific and won't replace your general data governance strategy.