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唐朱昌
唐朱昌
教授,博士生导师。复旦大学中国反洗钱研究中心首任主任,复旦大学俄...
严立新
严立新
复旦大学国际金融学院教授,中国反洗钱研究中心执行主任,陆家嘴金...
陈浩然
陈浩然
复旦大学法学院教授、博士生导师;复旦大学国际刑法研究中心主任。...
何 萍
何 萍
华东政法大学刑法学教授,复旦大学中国反洗钱研究中心特聘研究员,荷...
李小杰
李小杰
安永金融服务风险管理、咨询总监,曾任蚂蚁金服反洗钱总监,复旦大学...
周锦贤
周锦贤
周锦贤先生,香港人,广州暨南大学法律学士,复旦大学中国反洗钱研究中...
童文俊
童文俊
高级经济师,复旦大学金融学博士,复旦大学经济学博士后。现供职于中...
汤 俊
汤 俊
武汉中南财经政法大学信息安全学院教授。长期专注于反洗钱/反恐...
李 刚
李 刚
生辰:1977.7.26 籍贯:辽宁抚顺 民族:汉 党派:九三学社 职称:教授 研究...
祝亚雄
祝亚雄
祝亚雄,1974年生,浙江衢州人。浙江师范大学经济与管理学院副教授,博...
顾卿华
顾卿华
复旦大学中国反洗钱研究中心特聘研究员;现任安永管理咨询服务合伙...
张平
张平
工作履历:曾在国家审计署从事审计工作,是国家第一批政府审计师;曾在...
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上传时间: 2024-04-09      浏览次数:176次
Oracle Introduces AI-Powered Anti-Money Laundering Service for Banks

 

https://www.pymnts.com/aml/2024/oracle-introduces-artificial-intelligence-powered-anti-money-laundering-service-banks/

 

Oracle Financial Services introduced an artificial intelligence-powered cloud service that helps banks mitigate anti-money laundering (AML) risks.

 

The new Oracle Financial Services Compliance Agent “identifies and remediates vulnerabilities,” the company said in a Monday (April 8) press release.

 

Putting Compliance Agent in the hands of financial-crime compliance officers will help enable banks to thwart potential money laundering opportunities more quickly and economically,” Jason Wynne, global vice president of finance, risk and compliance product development at Oracle Financial Services, said in the release.

 

The new cloud service enables banks to run inexpensive, hypothetical scenario testing to adjust thresholds and controls, according to the release. With that testing, banks can sort through transactions, identify suspicious activity and better meet their compliance requirements.

 

The Compliance Agent helps banks assess and optimize the performance of their transaction monitoring systems, the release said.

 

Using the service, banks can evaluate and measure the AML risk profile of new products, evaluate controls to mitigate the risk of those products, proactively assess and mitigate risks from high-risk typologies, and make quicker, cheaper compliance decisions, per the release.

 

AI and machine learning have tremendous potential to increase the effectiveness of anti-money laundering and other financial crime detection programs to deliver higher efficiencies in the transactional modeling process,” Wynne said in the release.

 

PYMNTS Intelligence found that AI has become a tool of choice for financial institution executives looking to combat money laundering, bank fraud and other illicit activities.

 

Seventy-one percent of financial institutions are now using AI and machine learning to fend off fraudsters, according to PYMNTS Intelligence’s “Financial Institutions Revamping Technologies to Fight Financial Crimes.”

 

The report also found that more than 40% of financial institutions said incidents of fraud are increasing.

 

In another deployment of this technology, OTTO Payments, the payments division serving the OTTO marketplace, said in December that it adopted Hawk AI’s solutions for AML compliance. Hawk AI’s AML solution features the company’s explainable AI and intuitive user interface.

 

In June, Google said it launched an AI-powered tool to help financial institutions detect money laundering. The company’s Anti-Money Laundering AI provides a customer risk score as an alternative to rules-based transaction alerting and can adapt to changes in underlying data to deliver more accurate results.