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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: 2011-03-23      浏览次数:1565次
Verafin Unveils Winter ’11 Release, Strengthening Unified Fraud and Money Laundering Detection
关键字:money laundering

March 22, 2011 | Business Wire, Inc.

http://insurancenewsnet.com/article.aspx?id=252857

 

Improves workflow management across the life of suspicious activity, from risk-based detection and alert review to case management, investigation and reporting

 

HOLLYWOOD, Fla.--(BUSINESS WIRE)-- Verafin Inc., a leading provider of compliance, anti-money laundering (AML) and fraud detection software, today announced the availability of Winter ’11, a major new release of Verafin’s solution that further solidifies the company’s leadership position in the development of intelligent, behavior-based software that combines anti-fraud and BSA/AML compliance in a single platform.

 

“When we set out to create a major new release of Verafin we went to our customers to find out what would help them work more efficiently. One of the big requests was to show the link between fraud and money laundering alerts even more clearly. The FRAML dashboard came directly from that feedback,” said Jamie King, CEO and president of Verafin. “From customer research, to product development and usability testing, we have worked to ensure this Winter ’11 release provides AML and anti-fraud professionals with the right mix of information and tools to manage their BSA compliance and financial crime detection obligations.”

 

Verafin’s consolidation of anti-fraud and AML, called FRAML, leverages artificial intelligence and pattern recognition technology to immediately identify suspicious behavior and root out potential fraudsters and money launderers. Using a common underlying technology with separate analytics and configuration parameters for fraud and money laundering detection simplifies the tasks of system tuning and ongoing administration that often prove confusing and time-consuming for users of less sophisticated, rules-based systems.

 

Winter ’11 provides a consolidated, customer-centric alerts dashboard, improves access to data, information and tools to expedite the review and decision-making of all suspicious activity (fraud and AML), and minimizes any duplication of effort in the alert review and investigation processes—a common problem when separate, point solutions for AML and anti-fraud are deployed. For example, with just one click a user can now see all alerts (e.g., check kiting and money laundering) for a customer in one view, providing a full picture of suspicious activity.

 

“Over the last few years, analysts and industry experts have predicted the convergence of fraud and AML,” said Mr. King. “Our Winter ’11 release takes what we know from years of experience and elevates it to an unprecedented level of sophistication and innovation, giving compliance officers a simpler, more collaborative solution that adds further transparency to the process of fraud and AML investigations, expediting the detection of fraudulent activity.”