Remove Big Data Remove Fraud Remove Risk Management
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FTC Receives More Than 2.1M Fraud Reports in 2020

Banking Exchange

Pandemic sees increase in amount lost to fraud, according to new data Risk Management Feature3 Feature Security AML & Fraud BSA/AML Big Data Covid19 Online Mobile Cards.

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Machine Learning and AI ‘Crucial’ to Fighting Fraud, Research Shows

Banking Exchange

Online payment fraud could cost companies more than $200 billion over four years, finds Juniper Research Risk Management Technology AML & Fraud Cyberfraud/ID Theft Compliance/Regulatory Operational Risk Big Data Security Online Cards BSA/AML Feature3 Feature Financial Research Payments.

Fraud 97
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Sift Science Eyes Global Fraud Prevention With $53M In Funding

PYMNTS

Fraud detection startup Sift Science has raised $53 million in a series D round, bringing its total amount raised to $107 million. Founded in 2011, Sift Science plans to use this latest round of funding to grow its fraud detection and prevention product globally. Clients include Twitter, Airbnb, Twilio, Instacart, Zillow and Yelp.

Fraud 108
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The AI Method To Fighting Fleet Card Fraud

PYMNTS

These tactics cast a wide net of fraud over the fleet card industry – from issuers and acquirers to fleet managers, employers and employees themselves. Goldspink recently told PYMNTS that fleet card-related fraud goes far beyond skimmers at the POS.

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AI or Die: 4 Ways Model Governance Can Help You Win at Digital Transformation

Banking Exchange

Traditional statistical models are limited in the number of dimensions they can access Risk Management Technology Feature3 Fintech Feature Financial Research Big Data AML & Fraud Security Cyberfraud/ID Theft Profitability Performance.

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DIY Fraud Management: Five Things To Know About Building Your Team

PYMNTS

There are different levels of fraud management an organization can implement, from completely in-house to completely outsourced. But for a company planning to build an internal team to manage and prevent fraud 24/7, it’s important to understand the value and limitations of this approach.

Fraud 101
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Fighting Fraud Through a Customer-Centric Lens

ABA Community Banking

Bankers have a powerful, yet underutilized, tool at their disposal: machine learning data analytics Feature Technology Risk Management AML & Fraud Tech Management Operational Risk Cyberfraud/ID Theft Big Data Feature3 Fintech.

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