Category: Quick Takes

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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

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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Product Blogs

Building a Better Rules Engine: The DataVisor Way

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Quick Takes

Unsupervised Machine Learning to Reduce False Positives in Fraud Detection

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Quick Takes

Fight Fraud on All Fronts with a Fully Integrated Approach

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Quick Takes

How to Find Emulators and Stop Mobile Fraud

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Quick Takes

4 E-Commerce Companies Waged War with Fraudsters: Here’s What Happened

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Quick Takes

Linkage Analysis: How to Investigate Fraud Cases Beyond Table View

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Quick Takes

Exploring the CARTA Approach to Fraud and Risk Management

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Quick Takes

How to make your rules engine more powerful by using advanced features

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Quick Takes

Defeat Fraud: How to Deliver Continuous Protection Across the Entire Customer Lifecycle

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Quick Takes

When Rules No Longer Apply: A Look at Fraud Detection in the Age of COVID-19

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Quick Takes

Top 2 Challenges for Adoption of AI Fraud Detection Technology

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Quick Takes

How to Deliver Continuous Protection Across the Entire Customer Lifecycle

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Quick Takes

How One Airline Prevented Fraud from Taking Flight: An Interview with DataVisor’s Randall Maddern

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Quick Takes

A Guide to Model Governance for Financial Institutions: Q&A with Kaila Cappello

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Quick Takes

How Much Can Application Fraud Cost Banks? And a Bonus Downloadable ROI Calculator!

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Quick Takes

How AI Can Protect You from a Bot Attack

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Quick Takes

How to Find “Money Mules” with Machine Learning Fraud Detection Software

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Quick Takes

How to Prevent Chargebacks? Stop Them at the Source with Machine Learning

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Quick Takes

5 Trends Fraud Leaders are Talking about Right Now

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Quick Takes

How Can AI Fraud Detection Help the Banking Industry?

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Quick Takes

How to Choose a Fraud and Risk Management Platform That Delivers Complete Protection for the Entire Customer Lifecycle

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Quick Takes

Balancing Customer Experience and Fraud Prevention Across the Entire Customer Lifecycle

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Quick Takes

The Valuable Byproducts of Innovation

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Quick Takes

How Criminals Use Stolen Data

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Quick Takes

Is Protecting Your Customers Against Fraud Your Most Important Competitive Advantage?

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Quick Takes

Exposing the Digital Footprints of Fraud

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Quick Takes

React, or Prevent? Why Organizations Must Embrace A Proactive Approach To Fraud Management

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Quick Takes

Post-Modeling: Your One-Stop Solution for Solving Fraud Problems in Real Time

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Quick Takes

AI-Powered Solutions, AI-Empowered Clients

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Quick Takes

Fraud Modeling with Automation, Complete Control, and Domain Expertise

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Quick Takes

Defeat Fraud with a Comprehensive AI-powered Solution

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Quick Takes

Why I Joined DataVisor

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Quick Takes

Are Mobile Devices the Leading Target for Fraudsters?

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Quick Takes

What Fraudsters Are Doing with Breached Data

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Quick Takes

3 Keys to Fraud Detection for the Modern Wave of Sophisticated Fraud

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Quick Takes

Dealing with the Complexity of Fraud Attacks in Mobile Application Fraud

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Quick Takes

How Spammers Conduct Mass URL Spam Attacks

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Quick Takes

Maximizing User Acquisition ROI with AI Technology

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