The Simility Blog
How Feature Engineering And Feature Selection Support Machine Learning-Powered Fraud Prevention
Machine learning (ML) is a critical application of artificial intelligence (AI) used by Simility, a PayPal service, to help beat the fraudsters. The powerful algorithms we design can spot even the most sophisticated fraud attempts and are continually evolving to…
Data-Driven Fraud Prevention Starts With a Data Lake
Data lakes can play a prime role in driving competitive advantages as part of machine learning-powered fraud decisioning. Data is the fuel that powers modern business. And when it comes to online fraud, it's highly sought after by both scammers…
Fraud Detection and Orchestration Hubs: How They Can Help Your Business
In the ongoing battle against rising fraud levels, organizations are increasingly turning to so-called “hubs.” These offerings consolidate multiple point solutions and internal customer data to optimize detection, improving the customer experience and streamline operational processes. According to a recent…
How to Stop Account Takeover Attacks in Their Tracks
Twenty-first century consumers live much of their lives online. To do so, they open accounts with a variety of internet-based companies — everything from banks, insurers, and social media providers to e-commerce stores. This makes life easier, with card details,…
Overcoming The Challenge Of Bias And Discrimination In Machine Learning
After Phillip Alston, UN rapporteur on poverty and human rights, presented his report to the UN a few weeks ago, the machine learning (ML) community sat up and took notice. In his report, Alston pointed out how new technologies revolutionize…
As Online Fraud Professionalizes, It’s Time To Empower Risk Teams With Better Tools
Law enforcement works tirelessly around the world to combat the scourge of online fraud and is now warning of organized gangs increasingly gravitating to fraud. Enterprises must match these efforts with improvements of their own. That means supporting risk teams with highly usable,…
Why It’s Time To Recession-Proof Your Organization With Anti-fraud Tools
After one of the longest periods of US economic expansion on record, many experts are saying it’s time for a recession. That’s troubling in itself, in terms of the potential for job losses, financial uncertainty and economic stagnation. But it could also have a major impact…
Tackling The Problem Of False Declines To Drive Business Growth
Digital transformation is non-negotiable for today’s global retailers. They must meet growing market demands for seamless omnichannel experiences in order to drive customer loyalty and success — or risk falling behind the competition. But fraudsters want in on the action…
What Fraud Will Look Like In 2020: Get Set For Another Crucial Year
Over the past 12 months we’ve seen online fraud continue to evolve. E-commerce merchants, financial institutions and other organizations are pushing ahead with efforts to streamline business processes and deliver seamless customer experiences. But these initiatives continue to provide new…
Online Fraud Is Getting Smarter: Firms Must Respond In Kind With Behavior-Based Tools
Digital transformation initiatives across the globe are generating billions of dollars, with the analytics segment alone expected to reach an estimated $74 billion this year.1 But while organizations focus on getting closer to their customers with innovative new services, and…
