AI Platforms

Filter document retrieval before context reaches your LLM. AI responses never include information from documents the user isn't authorized to see, maintaining data boundaries at retrieval time.

Replicate permission models from Google Drive, OneDrive, SharePoint, and Box without custom code. AuthZed's flexible schema expresses any permission structure in a single unified system.

Keep authorization current as permissions change in source systems. Revocations are reflected immediately across your AI pipeline, not minutes or hours later when damage is already done.

Handle billions of documents with unique fine-grained permissions at consistent latency. Proven at OpenAI scale with 37+ billion documents, where authorization performance never becomes a pipeline bottleneck.

Permission checks complete in single-digit milliseconds. Authorization never becomes the bottleneck in your AI pipeline. For bulk filtering, AuthZed's Materialize feature pre-computes results so queries across millions of documents return instantly, making permission-aware RAG performant at scale.

Express Google Drive's folder inheritance, OneDrive's sharing semantics, Box's collaboration rules, or your custom permission model in a single declarative schema. Add new integrations by updating the schema. No code changes, no re-architecture, no per-customer logic scattered through your codebase.

37 billion documents with fine-grained permissions. This isn't theoretical capacity. It's what AuthZed handles in production for the world's largest enterprise AI deployments, with reliability that eliminated most SRE burden for the OpenAI team.