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Applying Cross-Channel Data to Improve Fraud Detection
Learn how to apply cross-channel data to predict fraud risk more accurately.
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Identifying Fraud Faster with Intelligence Feeds - Web Threat Detection v6
Online fraud remains as much a part of digital life as URLs. Fraudsters are constantly devising new ways to separate consumers from their money, login credentials, Personally Identifiable Information (PII), healthcare data and anything else that can be monetized. Even more, they are doing it with speed and sophistication, but most damaging, they do it...
Interpretability of Machine Learning Models for Fraud Detection
Don’t you want to know how your machine learning models operate?
New Account Fraud: How to Apply Fraud Data to Reduce Risk
Data analysis shows new accounts and new devices are red flags for fraud.
Fraud Insights Through Integration
Another great conference at the Moscone Center in San Francisco. On the heels of RSA Conference, it’s fair to ask: When was the last time you counted the number of anti-fraud tools you are using to protect your consumer-facing environment? Now, when was the last time you thought about the connective tissue tying data sources...
The Next Generation in Consumer Authentication and Fraud Prevention
Fraud risk management has become a burden in recent years, and not just because the attackers have gotten better at their game. The tools and technologies used to detect and mitigate fraud events are better, but they are also plentiful. A recent RSA survey found that 57% of organizations use between 4 – 10 different tools...
Act at the Speed of Fraud: Take the Challenge
How fast can you find fraud? That is the challenge put forth by the RSA Fraud & Risk Intelligence team at RSA Conference 2017. Why the emphasis on speed? Simply put, the faster an organization can isolate the source of fraud, the faster they can respond. And based on RSA’s research, there is a gaping...
Fraud Investigation: A Big Job for Small Teams
RSA recently conducted a survey among security and fraud investigation professionals within the e-commerce industry to gauge the cyber threats and business challenges that plague them most. While many interesting insights emerged, there was one that stood out: finding the source of fraud takes too long. Among the observations and conclusions: Detecting...
Loyalty Fraud: Are You a Sitting Target?
Learn three effective ways to combat loyalty fraud
3D Secure Innovations: New Analytics Dashboard Helps Improve Response to Fraud
The 3D Secure protocol has been much (and somewhat unfairly!) maligned for the negative impact it has on the cardholder’s online experience. Requiring cardholders to produce their password each and every time they try to transact on a participating merchant site significantly disrupts purchase flow. Adding friction to the online checkout process leads to cart...
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