ZAMA vs Protegrity Vaultless Tokenization: 2026 Comparison
ZAMA is a free data masking tool. Protegrity Vaultless Tokenization is a commercial data masking tool by Protegrity. 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:
Developers building privacy-critical applications on public blockchains or untrusted infrastructure need fhEVM Coprocessor because it's the only open-source tool that lets you perform computations on encrypted data without decrypting it first, eliminating the exposure window entirely. The library supports arbitrary smart contract logic through Fully Homomorphic Encryption, meaning your data stays encrypted end-to-end in NIST Protect and Govern functions. Skip this if your team lacks cryptography expertise or you need a point-and-click masking tool for legacy databases; fhEVM requires developers to architect around encrypted computation from the ground up, not bolt encryption onto existing systems.
Protegrity Vaultless Tokenization
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.
