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Lorica Private Pursuit™ Platform
FHE-based platform for encrypted AI inference and SQL queries on sensitive data.

Lorica Private Pursuit™ Platform
FHE-based platform for encrypted AI inference and SQL queries on sensitive data.
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Lorica Private Pursuit™ Platform Description
The Private Pursuit™ Platform is an end-to-end encrypted compute platform that enables organizations to run AI inference and database queries on encrypted data without exposing the underlying plaintext. It uses Fully Homomorphic Encryption (FHE) — specifically Lorica's proprietary HP-FHE™ library — to perform computations directly on encrypted data, eliminating the need to decrypt data during use. The platform operates in three stages: a client encrypts their sensitive data, the enterprise runs encrypted AI inference or SQL search in the cloud or on-premise, and the client decrypts the results using their own secret key. The platform includes two primary functional modules: - Secure AI: Supports encrypted AI inference on ONNX models, including batch processing. - Secure Search: Supports encrypted SQL queries against SQL databases and CSV files, with single and batch query execution. Key security properties include 256-bit encryption, quantum-secure encryption, zero trust architecture support, optional FIPS mode, and compliance with GDPR, LGPD, CCPA, HIPAA, and PCI-DSS regulations. The HP-FHE™ library complies with the forthcoming ISO 28033 international standard for FHE, for which Lorica serves as a co-editor. The platform can be deployed on bare metal, private cloud, or public cloud environments, and is accessible via web browser or API. No specialized hardware is required.
Lorica Private Pursuit™ Platform FAQ
Common questions about Lorica Private Pursuit™ Platform including features, pricing, alternatives, and user reviews.
Lorica Private Pursuit™ Platform is FHE-based platform for encrypted AI inference and SQL queries on sensitive data. developed by Lorica. It is a Data Protection solution designed to help security teams with Encryption, AI Security, Privacy.
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