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AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Email spam and phishing attacks remain a critical security threat. Adversaries increasingly exploit large language models to craft contextually convincing malicious messages, and existing spam detection systems often struggle to keep pace. Generalization across diverse and evolving attack scenarios is limited, which reduces effectiveness once these systems are deployed in practice. This paper introduces Adaptive Uncertainty-Routed Analysis (AURA), a multimodal email threat detection system that analyzes both the content of an email and its embedded URLs. AURA is built around two layers: the fi

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Evidence & attribution

First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.