On June 6th, Learn How to Identify Your Customer Risk Profiles Through Their Digital Banking Behaviors
Mountain View, CA, June 3, 2019 – Guardian Analytics, the market leader in real-time behavioral analytics and machine learning solutions for banking payment fraud detection, anti-money laundering, and enterprise B2B portal fraud, announced an upcoming executive webinar, “Digital & Payments Behavioral Customer Segmentation with Fraud Analytics.”
In this webinar, we will share how you can segment your customers by digital banking risk behaviors and profiles. This unique behavioral segmentation will help you gain insights into customer risk exposure and take actions to detect and prevent fraud.
“Most fraud analytics tools do not have access to multi-channel digital and payments behavioral data, but with Guardian Analytics Fraud Analytics, they do,” said Eric Tran-Le, VP of Product Management at Guardian Analytics. “It opens a range of customer risk analytics ranging from simple mobile deposit fraud screening risk policies to more sophisticated customer behavioral risk-ratings.”
Guardian Analytics Fraud Analytics enables financial institutions to build new digital banking experiences and compete with new digital banking products by looking at demographics, behaviors, and risk profiles across online, mobile, P2P, Wire, and ACH payment channels.
To reserve your spot for the webinar, please click here.
About Guardian Analytics®
Guardian Analytics is the pioneer and leading provider of behavioral analytics and machine learning solutions for preventing banking fraud and anti-money laundering. Hundreds of financial institutions have standardized on Guardian Analytics’ innovative solutions to mitigate fraud risk and rely on the company to stop the sophisticated criminal attacks targeting retail and commercial banking clients. With Guardian Analytics, financial institutions build trust, increase competitiveness, improve their customer experience and scale operations. Guardian Analytics is privately held and based in Mountain View, CA. For more information, please visit www.GuardianAnalytics.com.
Guardian Analytics is a registered trademark of Guardian Analytics, Inc.
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