Rippleshot Blog

Developing Trust: 'Look for the Win-Win For Everybody'

Posted by Anna Kragie on Jun 1, 2018 2:14:36 PM

Developing trust as a fraud analytics platform doesn’t happen overnight. Here at Rippleshot, we’ve been working for years to make our fraud platform more than just about the data science. We’re all about the people, too.

In a recent interview with Bizcast, our co-founder Canh Tran shared his perspective on what it takes to grow a startup in a rapidly-changing industry — while still delivering customer success through our people-centric model.

Read More

Topics: Data Analytics

How Banks Can Fight Fraud in a Post-Equifax Breach World

Posted by Anna Lothson on Sep 29, 2017 11:33:17 AM

The Equifax breach that continues to make headlines is a game-changer for the financial services space. The biggest fear, of course, remains the unknown cost impact for banks and credit unions.

Inevetiably, in a breach affecting roughly half the U.S. population, the scope of this incident will be long-lasting. The end results won’t be known for some time since the real threat ahead lies in fraudsters’ ability to create false identities (AKA: synthetic fraud). 

To help combat the fallout from this breach, we've gathered four tips that banks and credit unions should keep in mind as they devise their strategies for keeping up with the spread of fraud (and fraudulent accounts).

Read More

Topics: Fraud, Machine Learning, Data Analytics

Machine Learning VS You

Posted by Sid Khaitan on Nov 30, 2016 11:21:29 AM

Have you ever looked at your computer or phone in awe, and considered the possibility that it may be smarter than you? Although the philosophical debate surrounding the nature of intelligence has waged on for decades, the advent of machine learning has caused it to suddenly resurface. After all, when a computer can comb through years of company data and solve a complex problem within seconds, it is hard to not give heed to the argument that technology is smarter. Regardless of whether or not intelligence can be measured, the final answer is that neither is smarter, and both must work effectively together in order to find solutions to tomorrow's problems. Follow the Rippleshot Team as we discuss the origins of machine learning, its implications for the future, and how you can leverage its power to benefit your institution.

Read More

Topics: Cybersecurity, Machine Learning, Data Analytics