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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Verifoxx
Verifoxx

Verifoxx

Founded 2020

Collaborate on sensitive datasets and share verified answers without exposing the raw data

You can use Verifoxx to query datasets and share verified insights without ever moving or exposing raw records. It relies on privacy-enhancing technologies like zero-knowledge proofs, multi-party computation, secure enclaves, and partial homomorphic encryption. Rather than sending files directly to external partners or third parties, you convert datasets into cryptographic formats. Collaborators can run queries, link information, and confirm data points while sensitive records remain on your own servers. The system also tracks data usage automatically to maintain compliance with privacy regulations.

What Verifoxx does

Execute zero-knowledge verification queries against partner datasetsSet up multi-party computation nodes across distributed infrastructureEnforce dataset usage limits and mandatory compliance rules automaticallyTrack real-time audit logs of external data access eventsTransform raw relational databases into encrypted cryptographic formatsRun mathematical calculations on encrypted numerical dataZero-knowledge proofs for verifying dataset queries without exposing underlying dataMulti-party computation nodes to generate partial proofs collaborativelyHardware-based secure enclaves to protect cryptographic algorithms from attackPartial homomorphic encryption to perform mathematical operations on encrypted valuesPrivacy-preserving search allowing entities to query data anonymouslyAutomated data lifecycle tracking with real-time compliance notificationsCompatibility with both structured and unstructured data across cloud or on-premise environments

Frequently asked

REST API, Python SDK, SQL Database Connectors, Unverified

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Verifoxx, Privacy Enhancing Technologies, Zero Knowledge Proofs, Multi Party Computation, Trusted Execution Environment, Homomorphic Encryption, data collaboration, secure data sharing, privacy preserving search, cryptographic data, data linkage, compliance automation, confidential computing, sensitive data verification