欢迎访问文传商讯!

全部新闻

Feedzai Unveils Expanded AML Capabilities Underpinned by Advanced Machine Learning and Explainability

发布时间:2019-11-18 16:14


Next generation capabilities simplify compliance and elevate AML programs, policies and procedures for established financial institutions, fintechs and challenger banks.

LAS VEGAS -- (BUSINESS WIRE) --

At the 2019 Money20/20 conference in Las Vegas, Feedzai has announced that it has expanded the capabilities for its AML solution. Delivering on the promise of using innovative machine learning techniques to improve management of financial crime, today’s release gives financial institutions enhanced detection capabilities and offers greater explainability to simplify compliance.

The release also features automated regulatory reporting which accelerates time to compliance within a global regulatory ecosystem that demands AML programs to meet local, regional, and international requirements, both in real-time and in batch. With Feedzai, financial institutions gain a holistic view of financial crime enabling them to implement unified FRAML strategies that promote implementation of shared goals, operational processes, data and tools between fraud and AML programs.

“Our banking customers look to modernize their AML programs to combat increasingly sophisticated criminals who exploit siloed, outdated AML systems that fail to keep pace with globalized financial systems and real-time digital payment methods,” said Saurabh Bajaj, Chief Product Officer at Feedzai. “With our innovation-driven DNA and expertise in financial crime management, we will continue pushing the boundaries of machine learning to improve anti-money laundering outcomes for established banks and fintechs alike.”

Nearly $2 trillion US dollars is laundered annually without detection, according to the United Nations Office on Drugs and Crime. To stay ahead of ever-evolving money laundering typologies, financial institutions demand sophisticated machine learning solutions which are able to identify these patterns hidden in terabytes of data. However, the lack of labeled data, essential for gauging the involvement of transactions in money laundering schemes, and the increased regulations for explainable decision-making, curtail FIs’ ability to fully leverage the power of machine learning.

Feedzai’s upgraded AML solution offers the following key capabilities:

  • Robust Machine Learning models powered by Advanced Machine Learning Techniques: Feedzai can empower any Financial Institution to leverage machine learning to fight money laundering, even combatting one of the most common challenges in AML - the lack of labeled data. To solve the cold-start problem of insufficient labeled data, Feedzai provides an iterative and supervised machine learning technique that leverages algorithms able to query AML teams to identify whether given transactions were associated with money laundering. This human-machine feedback loop is a technique that ensures sufficient information is collected on the data essential for training robust and accurate machine learning models, while also reducing high false positive rates.
  • Feedzai’s Next Generation of Whitebox Explanations™: Provides an unparalleled level of explainability for AML including detailed information on the suspicious activity and why a given risk score was computed. This enables internal investigators understand why an alert was generated, helps auditors gain context behind decisions, and gives money laundering reporting officers (MLROs) relevant information to achieve regulatory blessing.
  • Feedzai Genome now includes deep link analytics powered by advanced graph-based techniques: By incorporating graph based techniques into Genome, Feedzai’s AI powered link analysis tool, and sharing risk intelligence data via Risk Ledger, Feedzai's privacy-safe and members-only data consortium service, Feedzai is able to uncover much deeper links than previously possible. This enables the investigation of evasive AML patterns between webs of banks, accounts, corporations and trusts, allowing Genome to expose hidden relationships to trace the flow of funds that would be difficult to surface using manual linking.

Since launching its AML Transaction Monitoring solution a year ago, Feedzai added support for automated SAR filing, sanction screening integrations, and a multitude of payment channels across US, EMEA, and APAC. The solution meets model governance requirements under OCC 2011-12 and SR 11-7 and gives Feedzai clients full autonomy to show to regulators what profiles and model features have been created and why decisions were made.

The 2019 Money20/20 is held in Las Vegas at the Venetian Convention Center, October 27-30. Visit Feedzai at booth #3918 to see a demo of its AML solution or request a demo by visiting Feedzai.com.

About Feedzai

Feedzai is the market leader in fighting financial crime with AI. We’re coding the future of commerce with today’s most advanced risk management platform powered by big data and machine learning. Founded and developed by data scientists and aerospace engineers, Feedzai has one mission: to make banking and commerce safe. With more than 500 employees and 60% year-on-year growth, Feedzai is considered to be the best in class by Aite and one of the most successful AI companies by Forbes.The world’s largest banks, processors, and retailers use Feedzai’s fraud prevention and anti-money laundering products to safeguard trillions of dollars and manage risk, while improving customer experience.

View source version on businesswire.com: https://www.businesswire.com/news/home/20191029006132/en/

CONTACT:


Igor Carvalho
PR & Corporate Communications Manager

igor.carvalho@feedzai.com
+351 916 675 5906

金联创 xinhua08 cacs takungpao China.com 和讯 财讯 C114.net 看商界 畅享网 中国能源网 证券之星 金融界 中金在线 天和网 中国金融网 中汽传媒 国际财经日报 中国环保网 今日亚洲新闻网 百歌新闻专线 亚洲商机 新华网能源频道 IT资讯网 中国智能卡论坛 广西物流网 品牌世家 汽车点评网 中国电子标签网 360教育在线 21世纪保险网 中国能源投资网 中国电子商业联盟 中国汽车咨询中心网 煤炭供应链 美国证券网 百奥知 CTI论坛 中国测控网 北极星电力网 能源财经网 福建之窗 智库在线 eeworld 电脑商情在线 中国电池网 赢商网 湖南信息港 赢在中国网 比邻星环保网 中国制造业门户 中国涂料在线 渝网 - 了解重庆第一站,重庆城市生活门户网站 中国云计算第一门户网站—中云网 投资界 i美股 天和财富网 太阳能信息网 爱中国能源网 世纪新能源网 中国新能源网 PVMate.com 环球外汇 橡胶网-hc360慧聪网 百年企业在线 IT168 米内 汽车工业网 第一车市汽车网 股市资讯 中国西部网 中原汽配网 科技在线 煤炭网 51招生网 教育人生 驴皮网 物流北京 51电池搜索网 大众医学 岭南医药网 5联网 股城网 BIT CNELC XXTLW 外汇通 供应链中国网 中国粘合剂网 中国储能网 家具迷 家居装修网 中華检测网 中国食品招商网 华东化工网 新疆第一汽车网 中国汽车用品交易网 大娱网 中国汽配网 山东化工网 960化工网 妈咪爱 塑胶五金网 慧聪电子网 迈点酒店网 火爆网 emcsino eetrend 绿色节能网 赤浪绿色新能源网 中国商业网 生物无忧 全球医疗器械网 贷商网 手机在线 汽车轻量化在线 中国汽车材料网 科易网 中国电子顶级开发网 中国POS机网 乐康家居 必修 国易网