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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AI search / TOPIC COLLECTION
Find, retrieve, explain, verify.
Keep the stages of an AI search experience separate enough to evaluate. A generated answer should preserve the source scope and make its limitations inspectable.
Connect the ideas
Start with product design, continue through evidence grounding, and finish with the security boundaries before expanding the assistant’s 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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