Unverified50% confidenceOpinionExact time
Uniformly labeling external input as untrusted data is one of the industry's primary defenses against prompt injection risks.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedEven merely routing requests containing regulated data to a non-compliant region to complete inference before returning the results may constitute a compliance risk.68% similarUnverifiedAny scenario in which instructions and untrusted data share the same context (such as prompt injection, RAG, or agents) carries the risk that the model may follow information it was told to ignore.67% similarUnverifiedPublic disclosure of data supply chains by world model companies may trigger regulatory scrutiny or litigation risks.65% similarUnverified任何要求把文本喂进模型或管道的邀请都应视为潜在风险，切勿将来源不明数据接入生产系统或本地敏感环境65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/991310API
curl https://kongchang.com/api/v1/knowledge/claims/991310MCP
get_claim(id=991310)