Grounded but Misleading: Evaluating Semantic Alignment in AI-Generated Security Explanations
Online scams increasingly leverage fluent and context-aware social-engineering strategies, creating growing demand for AI systems that explain why a message may be risky. However, explanations that cite detector-derived evidence may still semantically weaken or redirect the intended risk interpretation. We introduce VE...