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Protegrity Vaultless Tokenization is a commercial data masking tool by Protegrity. DataStealth is a commercial data masking tool by DataStealth. Compare features, ratings, integrations, and community reviews side by side to find the best data masking fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Teams protecting sensitive data across databases and mainframes while avoiding the operational overhead of centralized token vaults should evaluate Protegrity Vaultless Tokenization. Its static token table approach eliminates the infrastructure dependency that slows deployments at mid-market and enterprise organizations, and the platform's dual support for column-level protection in databases plus format-preserving encryption gives you flexibility that strict masking tools don't offer. Skip this if you need dynamic policy enforcement or real-time token revocation; the vaultless architecture trades that control for simplicity, which is the entire point.
Mid-market and enterprise teams protecting sensitive data across fragmented infrastructure,on-prem databases, cloud APIs, legacy mainframes, and SaaS together,should evaluate DataStealth for its agentless inline masking that actually works across those disparate environments without forcing rip-and-replace. The platform covers all four NIST asset and data security functions (ID.AM, ID.RA, PR.DS, DE.CM) and deploys via gateway or proxy rather than requiring agents on every system, which matters when you're dealing with air-gapped or mainframe systems that block typical tooling. Skip this if your primary concern is detection and response; DataStealth prioritizes classification and protection over behavioral anomaly hunting.
Data protection platform offering vaultless tokenization and multiple methods
Inline data protection platform for on-prem, legacy, hybrid & cloud envs.
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Common questions about comparing Protegrity Vaultless Tokenization vs DataStealth for your data masking needs.
Protegrity Vaultless Tokenization: Data protection platform offering vaultless tokenization and multiple methods. built by Protegrity. headquartered in United States. Core capabilities include Vaultless tokenization using static token tables, Column-level data protection within databases, Static data masking for non-production environments..
DataStealth: Inline data protection platform for on-prem, legacy, hybrid & cloud envs. built by DataStealth. headquartered in Canada. Core capabilities include Real-time agentless data discovery and classification across databases, files, APIs, SaaS, and event streams, Inline data masking, tokenization, and encryption applied as data flows, Coverage for on-premises, cloud, hybrid, legacy, mainframe, and air-gapped systems..
Both serve the Data Masking market but differ in approach, feature depth, and target audience.
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