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Private Internet Search Is Still Finding Its Way

ID: 0e357e68-90e2-5288-9430-fcf7f8378485

STIX ID: report--0e357e68-90e2-5288-9430-fcf7f8378485

Feed Name: Dark Reading

Date Published: 2024-05-01

Date Updated: 2026-04-21

Author: Agam Shah, Contributing Writer

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The article surveys emerging private-search technologies, explaining how MongoDB's queryable encryption enables encrypted exact- and range-searches, Fortanix's confidential-computing approach protects AI prompts and enables secure enclave processing for retrieval and model validation, and Duality's lattice-based encryption supports computation on encrypted data; it also highlights implementation and proof challenges in ensuring true privacy across complex hardware and software stacks.

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