LLM-based framework automates credit card fraud investigations

Researchers have developed a new framework called FAA Framework, which utilizes multimodal large language models (LLMs) to automate credit card fraud investigations. This system aims to alleviate alert fatigue among fraud analysts by collecting evidence, identifying emerging fraud patterns, and generating explanatory reports. Experiments on datasets like Sparkov and CCTD demonstrated that the FAA Framework can improve investigation outcomes, showing an 8% increase in F1 score after approximately 1,500 additional investigations, particularly for borderline cases. AI

IMPACT This framework could significantly reduce manual effort in fraud investigations and improve detection accuracy for complex cases.

RANK_REASON The cluster describes a research paper published on arXiv detailing a novel framework for fraud investigation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• arXiv
• Asaf Shabtai
• credit card fraud
• FAA Framework
• Fraud Investigation Assistant
• large language models

• product
• paper

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