The Simility Blog
Fighting Fraud in a Rapidly Transforming Travel Industry
Like many sectors, travel is undergoing major digital-driven transformation. This is helping to drive customer engagement and growth on a scale never before seen. But…
Driving 2019 Success Through Risk Management
At PayPal we’re celebrating another great start to 2019 after our first quarter financials were released last month. Alongside the headline 12% increase in revenue…
Guarding the Global Village: Tackling the Fraud Threat in Online Marketplaces
Many online marketplaces and shopping sites are taking the digital world by storm with user-friendly platforms for buyers and sellers to exchange goods and services.…
Addressing CNP Fraud to Reduce Chargebacks and Protect the Bottom Line
Digital businesses are adopting innovative measures to offer differentiated customer services and make the online customer journey as seamless as possible. Offering multiple online payment…
Recommerce at Risk: How To Beat The Fraudsters On Resale Marketplaces
Online fraud is just about everywhere today. In fact, retailers are estimated to lose billions in card-not-present scams over the next several years. Yet some…
Celebrating Industry Recognition as a Best in Class ML Vendor Simility
At Simility, we pride ourselves on leading a new era of machine learning-powered anti-fraud solutions. Since beginning this journey in 2014, we’ve come a long…
Taking our best-in-class machine learning platform to LendIt Fintech USA
Simility spent a few days last week at Lendit Fintech USA, one of the key tech innovation events on the financial services calendar. We…
Recent Report Validates Simility’s Customer First Strategy
Fraud is a fast-moving business. Any company hoping to offer true value for its customers in blocking malicious transactions without adding friction for the end…
Bolster Defenses with the New AutoML Feature
Businesses can quickly create and/or retrain models, make them smarter and more incisive, and adapt to evolving fraud patterns using Simility’s new Automated Machine Learning…
The Need for Speed: How to Mitigate Fraud in Real-Time Payments
To prevent fraud in real-time payments, banks and financial service providers will have to move from a post-transaction batch-based analysis and reporting model to a…
