Unverified50% confidenceOpinionExact time
The risk of false positives—incorrectly classifying normal agent behavior as out-of-bounds and quarantining it—will directly affect the platform's practical utility.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedPoorly designed system prompts (such as those that overemphasize completing user tasks at all costs) may undermine the model's safety guardrails; the agent framework design, permission controls, and the security of the operated system collectively determine whether such incidents occur.77% similarUnverifiedVulnerability disclosure processes that over-rely on automated risk controls may harm well-intentioned security researchers, producing a chilling effect.77% similarVerifiedOver-refusal strategies reduce risk but harm model utility, especially in scenarios such as professional development and security research that require touching sensitive boundaries.77% similarUnverifiedIn agentic scenarios, watermarking may incur three hidden costs: decision-path drift, degraded format and structural reliability, and error accumulation across long chains.76% similarUnverified自愈技术的精细度层级越高（备选selector→视觉AI→LLM语义理解），误判风险随之上升76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/956467API
curl https://kongchang.com/api/v1/knowledge/claims/956467MCP
get_claim(id=956467)