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November 10, 2020 - Claire Zhou

Fight Fraud on All Fronts with a Fully Integrated Approach

Today’s fraud doesn’t take a single form or occur on just one channel, and neither should your fraud detection solutions. The problem, however, is that integrating fraud detection tools and processes have historically been too complicated and expensive for most companies to pursue. 

The high cost of purchasing different tools to address different types of fraud, along with the overhead of managing multiple vendors, is also an imperfect solution. Though it does allow companies to take a customized approach to fraud, it also creates more friction for customers due to the disjointed nature of fragmented systems. What’s more, it’s costly and time-consuming for fraud analysts to take action on multiple signals across multiple systems. This can lead to a slowdown in fraud investigations and hamper decisive action.

A better approach is a comprehensive fraud management platform that provides multilayer protection against all forms of fraud attacks across all channels. Here’s how DataVisor fights fraud with fully integrated fraud detection.

Comprehensive Fraud Management

DataVisor leverages the full spectrum of fraud detection and prevention capabilities to fight all types of fraud. This includes:

  • Machine learning
  • Device intelligence
  • Rules-based engine with advanced fraud features
  • Visual linkage analysis and case management
  • Bot detection

With DataVisor’s comprehensive fraud management features, users can detect sophisticated crime rings and fraud patterns that can easily evade a surface-level, single-case review. DataVisor reviews all data points across all channels in real time to identify suspicious activities and the relationships between them (e.g. IP addresses, device IDs, etc.). In this way, the platform can detect fraud with greater accuracy and fewer false positives.

Cost-Effectiveness with Fast ROI

An integrated platform eliminates the need to purchase multiple tools from multiple vendors, which helps to simplify cost calculations. However, cost-effectiveness goes beyond integration. It’s also the result of a solution that is highly accurate and low maintenance. When customers are well protected and fraud is effectively detected without creating friction for good customers, you also reap the benefits of providing a good customer experience, which translates into positive ROI for your brand.

DataVisor’s fraud detection solution can be implemented and onboarding completed in as little as two weeks. Because there is no existing data training period, users can create real-time advanced new rules in minutes. Once the system is set up, users can start detecting known and unknown fraud on Day 1. 

Minimal Overhead

DataVisor’s integrated platform reduces overhead and elevates operations by 10-100 times. This is because the fraud team only needs to manage one platform and vendor instead of multiple tools. Another unique feature of DataVisor’s comprehensive fraud detection platform is that it enables analysts to take bulk action on a group of correlated cases instead of reviewing and acting upon each one individually.

Explore DataVisor’s Integrated Approach to Fight Fraud

DataVisor’s advanced fraud detection is powered by machine learning and device intelligence. This means that one tool can effectively detect known and unknown fraud patterns across all channels and devices and rapidly adapt when new threats are detected. 

Complex business needs require comprehensive solutions. Learn more about DataVisor’s comprehensive fraud detection platform by requesting a group demo today.

Photo of Claire Zhou
about Claire Zhou
Claire is a Product Marketing Manager at DataVisor with over 5 years of marketing experience in security and fin-tech. She is passionate about empowering enterprise customers with AI-based solutions. Her expertise spans data analytics, cybersecurity, and fraud prevention. Claire has an MBA from UCLA.
Photo of Claire Zhou
about Claire Zhou
Claire is a Product Marketing Manager at DataVisor with over 5 years of marketing experience in security and fin-tech. She is passionate about empowering enterprise customers with AI-based solutions. Her expertise spans data analytics, cybersecurity, and fraud prevention. Claire has an MBA from UCLA.