Analysis
Prevent Indirect Prompt Injection in LLM Web Search
Publication date unknown · Discovered trussed.ai
Page published
Publication date unknown · First observed: 4 Nov 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
Indirect prompt injection through web retrieval requires authorization and egress controls outside the model to limit damage when malicious content bypasses detection.
Trussed's implementation guide explains how malicious instructions hidden in search snippets and fetched pages can redirect LLM agents, expose sensitive data, or trigger unauthorized actions. The guide recommends layered controls across ingestion, prompt structure, tool authorization, and output and egress inspection, emphasizing that prompt wording alone is not an enforcement boundary.