Data Protection and Cryptography is a free data masking tool. DataKrypto is a commercial data masking tool by DataKrypto. 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 and security teams building applications that need lightweight data masking without infrastructure overhead should reach for Data Protection and Cryptography. The free pricing and 630 GitHub stars signal active use in production environments where byte-level manipulation of sensitive data needs to happen inside application code rather than in a separate gateway. Skip this if your requirement is policy-driven data discovery across your entire data estate; this tool assumes you already know what to mask and where.
Enterprise and mid-market teams processing sensitive data under GDPR or NIS2 constraints should adopt DataKrypto when query speed on encrypted data matters more than implementation simplicity. The FIPS-validated cryptographic module and native support for data-in-use encryption during search and analysis operations directly address PR.DS requirements without forcing a choice between security and performance. Skip this if your team lacks developer resources for SDK integration or if you need encryption that works transparently across legacy systems without code changes.
Tool for hiding data inside data and manipulating byte sequences.
FHE solution encrypting data-in-use for privacy during processing & analysis
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Common questions about comparing Data Protection and Cryptography vs DataKrypto for your data masking needs.
Data Protection and Cryptography: Tool for hiding data inside data and manipulating byte sequences..
DataKrypto: FHE solution encrypting data-in-use for privacy during processing & analysis. built by DataKrypto. headquartered in United States. Core capabilities include Fully Homomorphic Encryption for data-in-use, Processing encrypted data at plaintext speeds, Encrypted data maintains original size..
Both serve the Data Masking market but differ in approach, feature depth, and target audience.
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