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Fortanix Builds Private Search for AI

ID: 1a727202-c1e2-5404-b19c-4149170ab825

STIX ID: report--1a727202-c1e2-5404-b19c-4149170ab825

Feed Name: Dark Reading

Date Published: 2024-04-02

Date Updated: 2026-04-21

Author: Agam Shah, Contributing Writer

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**Executive summary:** The article outlines Fortanix's development of private AI search built on confidential computing—using secure enclaves and key-based access to protect prompts, vector embeddings, and data retrieval from large language models—and captures industry commentary (Microsoft, Nvidia, Intel) on confidential AI, regulatory pressures, and the importance of privacy, consent, and responsible AI in sectors like healthcare and banking.

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