Duality Query vs SecuPi Data De-identification: Side-by-Side Comparison (2026)

Duality Query: Privacy-preserving query platform using FHE to query encrypted, siloed datasets. built by Duality Technologies. Core capabilities include Quantum-secure confidential queries over encrypted structured and unstructured datasets, Zero Footprint querying — data never moves or is replicated, Fully Homomorphic Encryption (FHE) powered computation on encrypted data..

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.

Duality Query differentiates with Quantum-secure confidential queries over encrypted structured and unstructured datasets, Zero Footprint querying — data never moves or is replicated, Fully Homomorphic Encryption (FHE) powered computation on encrypted data. SecuPi Data De-identification differentiates with Format-preserving encryption (FPE), Vault-less tokenization, Dynamic data masking.

Duality Query is developed by Duality Technologies. 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.

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