On January 23rd at 12:00 pm PST, Guardian Analytics showcases Fighting Faster Payments Fraud with Machine Learning

Mountain View, CA, January 21, 2019Guardian Analytics, the #1 Financial Crime Investigation behavioral analytics and machine learning platform for banking payment fraud detection, enterprise portal fraud and AML, today announced his participation to BrightTALK “AI and Machine Learning in Financial Services 2019” and will explain how Faster Payments fraud requires real-time machine learning and behavioral analytics fraud detection.

“Lesson learned from UK Faster Payment Roll-out is that fraud rate tripled in first 2 years. Hence the ability to say yes or no in real-time 24x7x365 is what is at stake for faster payments.” said Eric Tran-Le, Vice President Product Management at Guardian Analytics .

This Guardian Analytics “Fighting Faster Payment Fraud with Machine Learning” Online Summit webinar will be held on Wednesday, January 23rd at 12:00 pm PST and is targeted to professionals working for both financial institutions and companies in roles that include: heads of Fraud Compliance, Controllers, Chief Financial Officers, and heads of Information Security.

To register, please go 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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Media contact:
Emily Lor
elor@guardiananalytics.com
(650) 383-9200