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Sarus is a commercial data masking tool by Sarus. 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.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Data teams that need to run analytics and machine learning on sensitive data without building separate sanitized datasets should evaluate Sarus. It enforces privacy policies directly on queries in real time and rewrites them automatically, which means analysts get usable results without exposing raw PII; the approach addresses both PR.AA access control and PR.DS data security in a single layer. Skip this if you're looking for a traditional data masking tool that handles structured PII in data warehouses; Sarus is built for hybrid query environments across SQL, pandas, and scikit-learn, which makes it heavier to deploy but far more flexible for modern analytics workflows.
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.
Privacy layer enabling data analytics & AI without exposing raw data.
Inline data protection platform for on-prem, legacy, hybrid & cloud envs.
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Common questions about comparing Sarus vs DataStealth for your data masking needs.
Sarus: Privacy layer enabling data analytics & AI without exposing raw data. built by Sarus. headquartered in France. Core capabilities include Privacy policy enforcement on queries in real time, Automatic query rewriting with privacy guarantees, Synthetic data generation..
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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