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AI · arxiv.org · Wednesday, 12 August 2026

Defensive LLMs Falter at Real‑Time Scam Detection, Study Finds

A new arXiv study builds a 300‑case online‑housing dataset and tests five defensive LLMs in live turn‑by‑turn and static modes. While none outright complied with scams, intervention rates ranged from 0 % to 96 % and models often misidentified the trust‑chain failure, especially around asset‑control. The findings warn safe‑looking behavior isn’t enough – intervention timing and correct structural localization are critical.

Read the source: arxiv.org ↗In the 12 August issue →