DataStealth On-Premise vs SecuPi Data De-identification: Side-by-Side Comparison (2026)

DataStealth On-Premise: On-prem data tokenization, masking & encryption for air-gapped environments. built by DataStealth. Core capabilities include Tokenization, masking, and encryption of sensitive data fields, Inline gateway/proxy deployment for real-time data transformation, Database and data-store proxy for SQL and NoSQL field-level protection..

SecuPi Data De-identification: Data de-identification platform using FPE, tokenization, and masking. built by SecuPi. Core capabilities include Format-preserving encryption (FPE), Vault-less tokenization, Dynamic data masking..

Both serve the Data Masking market but differ in approach, feature depth, and target audience.

DataStealth On-Premise differentiates with Tokenization, masking, and encryption of sensitive data fields, Inline gateway/proxy deployment for real-time data transformation, Database and data-store proxy for SQL and NoSQL field-level protection. SecuPi Data De-identification differentiates with Format-preserving encryption (FPE), Vault-less tokenization, Dynamic data masking.

DataStealth On-Premise is developed by DataStealth. SecuPi Data De-identification is developed by SecuPi. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

DataStealth On-Premise integrates with Kubernetes, Kafka, CIFS, NFS, S3-compatible object stores and 8 more. SecuPi Data De-identification integrates with KMS, HSM. Check integration compatibility with your existing security stack before deciding.

DataStealth On-Premise and SecuPi Data De-identification serve similar Data Masking use cases: both are Data Masking tools, both cover Encryption, Tokenization. Review the feature comparison above to determine which fits your requirements.