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Protecting Customers from Fraud

Contactless Payments: Are They Safe?

With the COVID-19 crisis and the increase of social distancing, the use of contactless payments is rising. What does this mean? Is it a safe method? Check it out!

How to Start Converging Fraud and Financial Crime Management

Here are three practical tips for institutions looking to improve fraud and financial crime management

Fraud and Financial Crime Convergence: It’s Really Here!

Four key challenges are driving financial institutions to bring fraud and financial crime management together

It’s OK, Boomer: Pondering P2P Payments and How to Fight Fraud

In a world where even "old" Boomers are making P2P payments, how can consumers protect themselves from fraud, and what are banks doing to protect their customers?

Fraud and Financial Crime Product Strategy: C is for Convergence

Fraud and compliance need to move beyond their silos to effectively win the war against financial crime

Fraud Predictions 2020: It Could Happen to You

Our need for speed combined with criminals' craftiness makes it easier to trick us into fraudulent payments

Managing Economic Uncertainty with a Customer-centric Approach

Know how to leverage data to better understand your customers, their expectations, risk and drivers.

Fraud & Payments Predictions 2019: Go Cashless - with Care

TJ Horan explains how his wallet diet paid off - and what this means for fraud in 2019.

Ho Ho Hold It! How to Avoid Fraud at Christmas Time

This holiday season should be a joyous one — for criminals. Holiday spending always makes it easier for fraudsters to steal your money, for two reasons.

A Global Hub of Payments Data for Fighting Fraud

The Falcon Intelligence Network is designed to drive fraud-focused AI innovation while providing a global perspective of fraud detection performance.

Fraud Detection: Adaptive Analytics and Self-Learning AI

Adaptive analytics technologies improve sensitivity to shifting fraud patterns by automatically adapting to recent confirmed case disposition.

Fraud Detection: Leveraging Large Datasets to Develop Models

You can improve predictive accuracy in fraud detection by expanding the dataset used to craft the predictive characteristics used in a machine learning model.

Fraud Detection: Specialized vs. Generic Fraud Analytics

In order to maintain a positive consumer experience, specialized fraud analytics must be used to assess the “tough” questions.

Fraud Detection: Applying Behavioral Analytics

A robust enterprise fraud solution combines a range of behavioral analytics models and profiles, which can understand evolving patterns in real time.

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