How do you enforce access control in a RAG pipeline?
Filter at retrieval time against the requesting user's identity, before chunks reach the model. Post-hoc filtering of the model's output is not access control.
Read the full answer →Access control, auditability, and compliance for systems that read enterprise data.
Filter at retrieval time against the requesting user's identity, before chunks reach the model. Post-hoc filtering of the model's output is not access control.
Read the full answer →Applying zero-trust principles to AI data flow: every retrieval is authorised against the caller's identity at request time, with no implicit trust granted by being inside the pipeline.
Read the full answer →Record the inputs, the retrieved context, the tool calls, the model version, and the output for every request — and be able to replay any one of them.
Read the full answer →Draw the line at reversibility and blast radius: reversible, bounded actions run autonomously; irreversible or outward-facing ones require confirmation.
Read the full answer →Build the inventory, the traces, and the evals. Every current regime asks what the system does, what data it touches, and how you know it works — those three artefacts answer all of it.
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