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So Many Job Openings—So Few Security Analysts
Can smarter technology and wickedly smart data-scientist-as-a-service be part of the answer? Cybercrime is growing at astonishing rates, but the worldwide shortage of skilled security professionals makes it difficult for businesses to acquire the resources to...
Don’t Let Your Customers’ Loyalty Become Fraudster Loot
Loyal customers grow a brand’s positive image and subsequently contribute to a company’s bottom line. Popular brands understand the importance of creating and maintaining loyal customers. Also, consumers relish being rewarded for their brand loyalty so much that four...
What You Need to Know About the Upcoming PSD2 in the EU
The original Payment Services Directive (PSD2) was implemented in 2011. The purpose was to define Payment Service Providers as separate from other financial services, and to give specific guidelines that would help protect customers and enable industry growth....
Stopping Mobile Remote Check Deposit Fraud: Old-School Problem Opens Up To Cross-Channel Risk With Mobile
It’s hard to believe, but even though the annual number of check payments keeps falling, check fraud is actually rising! Up from 71 percent in 2015, 75 percent of organizations in 2016 experienced check fraud, according to the 2017 AFP Payments and Fraud Control...
Fishing the Data Lake? Consider Using a Smarter Net
“Beats me, but for some reason organizations think that they can build A SECURITY DATA LAKE and/or their own CUSTOM BIG DATA SECURITY ANALYTICS tools. Let me tell you what will happen – it will FAIL.” Gartner Blog Network Those are strong words from Gartner...
A Primer on Machine Learning Models for Fraud Detection
Machine learning is the new black—among tech companies, everyone is trying to figure out how they can associate themselves with this sexy new technology. At Simility, we’ve been working with machine learning for years, applying it to the real-world problem of online...
Oh, those crafty fraudsters: Paying themselves for fake services with stolen credit cards!
Here’s a good case study for you… Marketplaces have it tough, monitoring millions of services, products, buyers, and sellers for fraudulent activity. And when numerous newly registered users set up accounts with the intent of fraud…they have a huge problem on their...
Why Spammy Profiles Should Worry Job Aggregators
Fraudulent applicants and abusive profile practices can wreck the reputation of job sites The first priority for job aggregators isn’t to please job seekers, it’s to please the employers who place ads on the job board. Without job listings, there is nothing to draw...
Why Managing Trust is Critical for Digital Transformation
Businesses planning on staying ahead in digital transformation find traditional methods used to establish trust in the physical world fall short in the digital world.
Simility Achieves SOC 2 Type II Certification
Simility’s versatile platform encompassing human analytics and machine learning helps companies fight abuse and fraud, while fostering trust and safety. As we continuously help our customers safeguard their websites and mobile applications against fraudsters, we make...
Three Stevie Awards, One Global Fraud Fighting Team
We won three Stevie Awards at the American Business Awards this year: Tech Startup of the Year, New Product or Service of the Year and the People’s Choice Award! The American Business Awards are the nation’s premier business awards program. All organizations...
Simility Fraud Prevention Platform Launches Globally
After years working together at Google to fight online fraud and abuse, we set out two years ago to build Simility to help bring the rest of the world greater protection from fraud. It’s our belief that for the Internet to continue to grow and deliver life changing...
How to Avoid Being Catfished By People on Dating Apps (Plus Tips on How to Find Love this Summer)
With many top dating apps simplifying courtship down to a simple thumb swipe, it’s a wonder that online dating, despite being normalized as a means to find love, now comes with ample new ways to experience heartbreak. Beyond losing your mind waiting for a text back...
Quantifying Insight: Fraud Data Scientists Translate a Hunch into a Probability
Using credit card fraud as an example, how does a data scientist translate an initial observation into a tangible prediction that can be used to drive business decisions and identify fraud? Don’t get me wrong, I love The Scientific Method as much as the next person....
Simility Recognized as Startup of the Year by Info Security Products Guide
It was recently announced that Simility has been named a Gold Winner of the 2016 Global Excellence Awards in the Startup of the Year category and a Silver winner in the Tomorrow’s Technology Today category. The awards were part of the 12th Annual 2016 Info Security...
7 Leading Fraud Indicators: From Fresh Cookies to Null Values
Fraud is costly and running rampant in online marketplaces, social networks and communities across the web. Effectively spotting and stopping fraud on a global scale requires determining the signals most closely correlated with fraudsters. Fraudsters vary in their...
It’s the Most Fraudulent Time of the Year
Two years ago the Target credit card data breach had a ripple effect that has led to the shoring up of payments security in the U.S. from “smart card” EMV machines to sophisticated anti-malware technology deployments to legions of managed security services teams...