Data Protection and Cryptography is a free data masking tool. DataStealth Platform 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, integrations, company size fit, 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.
Mid-market and enterprise security teams protecting sensitive data across hybrid infrastructure will benefit most from DataStealth Platform's agentless network-layer deployment, which finds and masks data without application changes or agent sprawl. The platform covers NIST ID.AM and PR.DS strongly through automated discovery and classification across on-premise, cloud, SaaS, and legacy systems, with pre-aligned compliance trails for PCI, HIPAA, and GDPR. Skip this if your priority is detection and response over prevention; DataStealth is built for data protection at rest and in motion, not for hunting or forensics.
Tool for hiding data inside data and manipulating byte sequences.
Data protection platform using tokenization, masking & encryption.
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Common questions about comparing Data Protection and Cryptography vs DataStealth Platform for your data masking needs.
Data Protection and Cryptography: Tool for hiding data inside data and manipulating byte sequences..
DataStealth Platform: Data protection platform using tokenization, masking & encryption. built by DataStealth. headquartered in Canada. Core capabilities include Data discovery across on-premise, cloud, SaaS, legacy, and AI environments, Automatic sensitive data classification across applications, databases, and file shares, Data protection via tokenization, encryption, and masking..
Both serve the Data Masking market but differ in approach, feature depth, and target audience.
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