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野村综合研究所(NRI):2024人工智能(AI)在欺诈检测中的应用与前景研究报告(中译版)(11页).pdf

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1、0Using AI for Fraud DetectionPT Nomura Research Institute Indonesia2024 Special Report 1Only 2%of Fraud in Southeast Asia is Detected Through Data MonitoringIs AI the Key to Safeguarding Businesses from Fraud?The Answer is Yes.Financial fraud is rising worldwide as the adoption of advanced technolog

2、ies opens new avenues for online criminals,according to a recent INTERPOL report.Southeast Asian countries are also experiencing this trend,with many businesses falling victim to fraudsters.Yet,only 2%of companies in the region use technology to detect fraud.While AI can be misused for fraud,it also

3、 holds significant potential to protect businesses from becoming victims.222342850203483354341050100Southeast Asian Corruption Perception IndexAverage Score for Asia Pacific RegionThe Corruption Perceptions Index(CPI)*1 is the worlds most widely recognized ranking for measuring corruption.It assesse

4、s how corrupt the public and private sectors are perceived to be in each country,based on insights from experts and business leaders.Nearly 80%of Southeast Asian countries have a CPI score below the global average.In comparison,the Asia Pacific regions average score is 45 on a scale of 0 to 100,wher

5、e 0 indicates severe corruption and 100 represents a corruption-free environment.Fraud Cases in Southeast Asia(SEA)Corruption Is A Big Issue 3Occupational fraudfraud committed by individuals against their own employersis highly prevalent in Southeast Asia.Research from the Association of Certified F

6、raud Examiners(ACFE)reveals that the most common forms of occupational fraud in the region include false invoicing,fictitious expenses,and manipulated financial statements.*24The research further indicates that many companies have yet to adopt technology and data analytics for fraud detection.Tips r

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本文主要探讨了人工智能在欺诈检测中的作用及其在东南亚地区的应用现状。报告指出,全球范围内,随着先进技术的应用,金融欺诈行为不断上升。在东南亚,仅有2%的公司采用技术进行欺诈检测,而AI技术在防范欺诈方面具有巨大潜力。文中提到,东南亚国家的贪污感知指数低于全球平均水平,且常见的职务欺诈形式包括虚假发票、虚构费用和操纵财务报表。AI可以通过分析来自不同来源的数据,如法律文件、合同、电子邮件通讯、历史交易等,来对抗这些欺诈行为。在采购、理赔和会计等领域,AI可以自动化交易和数据监控,提高欺诈检测的效率和准确性。同时,AI在安全验证和身份验证方面也发挥着关键作用。尽管AI在欺诈检测中具有明显优势,但在实施过程中仍面临数据质量、系统集成、数据隐私、道德问题和合规性挑战等问题。文章最后强调了选择合适的AI解决方案以及AI在欺诈管理中的重要性。
"AI如何助力企业防范欺诈?" "东南亚地区欺诈问题有多严重?" "实施AI反欺诈技术面临哪些挑战?"
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