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AI framework CASE enhances scam intelligence for digital payments

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CASE, a novel Agentic AI framework designed to enhance scam intelligence within digital payment systems. This framework utilizes a conversational agent to interview potential victims, gathering detailed scam information that is then processed by another AI system into structured data. Implemented using Google's Gemini LLMs on Google Pay India, the system has led to a 21% increase in scam enforcement actions. AI

IMPACT This framework could significantly improve fraud detection in digital payments, potentially reducing financial losses for users and platforms.

RANK_REASON The cluster contains an academic paper detailing a new AI framework for scam detection. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI framework CASE enhances scam intelligence for digital payments

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The cluster contains an academic paper detailing a new AI framework for scam detection. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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High
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144 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, Jose Estevez ·

    CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments

    arXiv:2508.19932v2 Announce Type: replace Abstract: The proliferation of digital payment platforms has transformed commerce, offering unmatched convenience and accessibility globally. However, this growth has also attracted malicious actors, leading to a corresponding increase in…

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