White Paper

Rethinking the Modern Data Stack for the Age of Gen AI

Rethinking the Modern Data Stack for the Age of Gen AI

Pages 9 Pages

The Privacera white paper rethinks the modern data stack for the age of generative AI. Originally built around cloud warehouses, the stack now requires end-to-end integration of sources, ingestion, storage, processing, transformation, and analysis with governance, observability, entitlements, and security. Key business goals include enabling digital transformation, faster insights, and unlocking data for innovation while breaking down silos. With generative AI, organizations must manage sensitive data, prompts, and model outputs with strict governance. Privacera automates sensitive data discovery, applies fine-grained access controls, and secures LLM workflows to prevent leakage while ensuring compliance.

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