Unverified50% confidenceFactExact time
The Scope layer restricts the tools, data sources, and external services an agent can call before LLM inference, effectively defending against prompt injection attacks.
1
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50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
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Related Claims
UnverifiedThe essence of prompt injection attacks is exploiting the structural flaw by which LLMs cannot distinguish between instructions and data at the architectural level.75% similarUnverifiedCaching is most useful at the tool-call layer but dangerous at the LLM inference layer—if only the prompt template is used as the cache key while ignoring the current state, stale inference results will be returned.74% similarUnverifiedPrompt injection attacks do not need to exploit software vulnerabilities; they exploit the model's difficulty in distinguishing instructions from data.68% similarUnverifiedThese benchmark data come from the project team's self-built benchmark, the attack vector coverage is limited, and it has not yet been independently reproduced by a third party.68% similarUnverifiedThe tool should return a clear error message upon blocking (such as "all proxy nodes are currently rate-limited by the target host"), letting the LLM treat the failure as an unrecoverable state and thus switch strategies rather than retry.68% similar
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