AI search security: keep retrieved content in the role of evidence
Map trust boundaries, limit tool authority, protect credentials, and evaluate how the full application handles outside content.
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LLM grounding / TOPIC COLLECTION
Keep claims attached to evidence.
Design small evidence packets with stable source identifiers, relevant passages, and clear uncertainty. Verify the connection between a citation and the claim it is meant to support.
Connect the ideas
Use the grounding guide for the data structure, the AI overview for evaluation, and the security review for handling outside content without granting it authority.
3 guides, one shared question
This collection links the same topic across source selection, implementation, and evaluation. Keep the purpose of each observation explicit and use the relevant guide’s field definitions before combining data from different workflows.
AI search engines: from discovery to evidence-backed answers
Separate discovery, retrieval, and generation. Design an AI search experience that makes its evidence and limitations visible.
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Connect search to an LLM without losing the source
Build evidence packets, select relevant passages, validate citations, and test what happens when the sources cannot answer.
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