arXiv AI
FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations
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Detection, Attribution, Narration: An End-to-End Pipeline for Explainable Money Mule Identification
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Jul 22
Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation
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Traceable LLM Reasoning for Fake-Order Fraud Detection
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Explainable Artificial Intelligence for Anomaly Detection in Banking Transactions: An Internal Audit Perspective
arXiv:2607. 13469v1 Announce Type: cross Abstract: The banking sector increasingly relies on automated systems to monitor electronic transactions for signs of fraud, yet conventional rule-based approaches struggle with high false-positive rates and offer no justification for their outputs, limiting their utility for compliance teams.
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Oculi: A Conversational Agentic Platform for Automated Credit Risk Analysis
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arXiv AI
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Benchmarking Generalization in Financial Statement Fraud Detection: robust evaluation and novel tasks
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