An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory
Following the rapid progress of generative Artificial Intelligence, there is a growing threat posed by conversational scams. These scams often span over multiple weeks or months, gradually build trust and request for money or sensitive information. Existing scam-detection systems mainly focus on isolated messages, which renders them inadequate against this evolving threat. This paper extends single-message phishing detection and presents an explainable agentic system for detecting sophisticated
Record details
Published: 13 July 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy · Transparency
Retrieved: 16 July 2026
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How to cite this record
ethics.ai (13 July 2026), “An Explainable Agentic System for Detection of Conversational Scams with Summary-Based Memory,” evidence record 10952, https://ethics.ai/record/10952 (originally published by arXiv cs.HC).
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