Data Governance

A Citation Is Not Proof: Building an Evidence and Disclosure Control Layer

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TL;DR Enterprise RAG citation controls must establish more than whether a reference opens. Connect material claims to authorized, versioned evidence; preserve the conditions that make the evidence applicable; and let the application own citation identifiers and destinations. Validate source identity, claim support, applicability, and disclosure permission separately. Reauthorize source viewing, constrain generated markup, and retain … Explore: A Citation Is Not Proof: Building an Evidence…

Your RAG Pipeline Is a Data Boundary, Not Just a Search Feature

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TL;DR Enterprise RAG security begins before the first question reaches the model. Decide which sources may enter the platform, which processing services may receive their contents, and which restrictions must survive extraction, chunking, embedding, and storage. Treat derived artifacts as governed data, not disposable implementation details. Preserve source identity and policy references, prevent unapproved processing … Explore: Your RAG Pipeline Is a Data Boundary, Not…

Production Vector Database Operations: Backup, Recovery, Reindexing, and Access Control

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TL;DR Production vector database operations must protect the retrieval service, not just the database files. Back up vectors, metadata, source lineage, and the configuration needed to use them. Restore into an isolated environment, reconcile changes and current permissions, and validate retrieval before reopening traffic. Treat embedding migrations differently from physical index rebuilds, and keep rollback … Explore: Production Vector Database Operations: Backup, Recovery, Reindexing, and…