Category: Quick Takes

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Quick Takes

7 Common Mistakes to Avoid When Migrating to a New Fraud Solution

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Quick Takes

How to Bounce Back from a Major Fraud Attack

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Quick Takes

A Q&A with DataVisor’s new CRO Kevin McWey

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Quick Takes

3 Ways FedNow is Different From Other Payments

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Quick Takes

3 Key Ways Machine Learning Powers Fraud Prevention

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Quick Takes

Key Takeaways from our First DEFEND Webinar of 2023

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Quick Takes

Risk and Payments in the Internet of Things (IoT) Part Two – Getting Ready for IoT Payments

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Quick Takes

How to Stop Chargeback Fraud with AI-Powered Detection

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Quick Takes

Abusive Customers – How to Spot the Iron Fist in the Velvet Glove

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Quick Takes

3 Payment Acceptance Strategies to Improve eCommerce Revenue and Reduce Fraud

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Quick Takes

How Banks Can Respond to New FFIEC Guidelines

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Quick Takes

5 Tips for Better Online Fraud Detection RFPs

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Quick Takes

How to Prevent Policy Abuse Fraud and Friendly Fraud

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Quick Takes

Holiday Ecommerce Alert: Stop Chargeback Fraud with These Tips

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Quick Takes

A Closer Look at Digital Identities and Fraud

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Quick Takes

Say ‘Yes’ to Good Customers and ‘No’ to Digital Fraud––Why a Holistic Approach is Needed

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Quick Takes

Practical Guide to Stop Loan Stacking

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Quick Takes

Infamous Fraud Cases and Their Implications for Modern Fraud Experts

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Quick Takes

What Is Expense Fraud and How Can You Detect It?

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Quick Takes

Does There Have to Be a Tradeoff Between Fraud Prevention and Customer Experience?

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Quick Takes

Demystifying Modern Fraud Attacks in Banking

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Quick Takes

PSD2: A Gateway to Customer-Centric Financial Services

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Quick Takes

Point of Sale Finance: Stopping Fraud in the Fintech Revolution

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Quick Takes

Data Sharing with Open Finance: A Look at the Future

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Quick Takes

Fraud Detection: A Competitive Advantage for Online Lenders

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Quick Takes

To Build or to Buy. The ultimate software dilemma.

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Quick Takes

Are You Treating Your Customers Like Criminals?

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Quick Takes

Banking: How Machine Learning Augments Rules to Boost Fraud Detection

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Quick Takes

How to use Artificial Intelligence to Stop Card Not Present Fraud

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Quick Takes

How to Optimize The Total Cost of Fraud: 3 Areas to Consider

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Quick Takes

Credit Unions: Fight Fraud with Machine Learning

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Quick Takes

3 Tips for Building Your Fraud Team

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Quick Takes

How to Derive Value from Data to Boost Fraud Detection

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Quick Takes

Case Study: How One Company Used DataVisor to Combat Food Delivery Fraud During COVID-19

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Quick Takes

How to Use Identity Data and Behavior Intelligence for Fraud Detection

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Quick Takes

How to Build a Fraud Audit Program

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Quick Takes

Linkage Analysis: A New Approach to Detect and Investigate AML and Application Fraud

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Quick Takes

How a Loan Provider Uses Link Analysis to Increase Review Efficiency by 5X

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Quick Takes

How to Calculate the ROI of Transaction Fraud Prevention

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Quick Takes

Bracing for Impact: The Future of Digital Banking Fraud Prevention

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Quick Takes

Combat Money Laundering with Linkage Analysis and Machine Learning

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Quick Takes

6 Common Characteristics of Synthetic Fraud

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Quick Takes

Key Strategies to Combat Sophisticated ATO Attacks

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Quick Takes

3 Reasons Financial Service Firms Are Investing in Fraud Prevention Today

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Quick Takes

Fintechs and Fraud: A Look at PPP Loans and Organized Crimes

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Quick Takes

How E-Commerce Companies Choose the Right Fraud Detection Platform

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Quick Takes

Beat Transaction Fraud with Proactive Detection

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Digital Fraud Trends

Fraud Detection Now: A 2020 Retrospective

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Featured

Striking a Balance between Fraud Prevention and Great Customer Experience

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Featured

The Future Is Now: Real-Time Fraud Detection Is a Reality

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