Fraud Detection: Applying Behavioral Analytics
A robust enterprise fraud solution combines a range of behavioral analytics models and profiles, which can understand evolving patterns in real time.
How Machine Learning Fights "Hypnofraud"
Hypnofraud refers to the success fraudsters are having with convincing people to give them their account data - but the fraud based on this can be detected and stopped.
Giving to Charity? Don’t Donate Your Data to Fraudsters
In the age of data breaches, self-broadcasting of personal information, and ever more-sophisticated fraudsters, here are four steps you can take to protect yourself.
Decision Management Maturity: Raise Yours at FICO World
The DM3 provides an accurate and actionable segmentation of users and businesses against their current capabilities, requirements, skills and end-state objectives.
Machine Learning Improves CNP Fraud Detection Rates by 30%*
FICO’s new machine learning models are much more sensitive to abnormal single transactions, allowing CNP fraud to be detected quickly.
Origination Scores: Say “Yes” to More Credit Applicants
Origination scores add significant value above and beyond the FICO® Score, which is based solely on the data found in a consumer’s credit bureau file.
U.S. ATM Fraud Climbed 10% in 2017 — Is That Good?
As FICO reported today, there was a 10% increase in the number of payment cards compromised at U.S. ATMs and merchants in 2017.
Unsupervised Learning Part 2: The AML Connection
Today’s post covers three categories of unsupervised learning that FICO has investigated, refined and put into our anti-money laundering (AML) solutions.
E-Commerce Fraud: Machine Learning Speeds Detection
FICO's new CNP fraud detection models have been developed to detect fraudulent e-commerce fraud transactions as quickly as possible, to prevent significant fraud loss from an account.
Today’s Deep Dive: Innovative Unsupervised Learning in AI
This two-part blog unpacks the mysteries of two very different AI techniques: supervised and unsupervised learning.
IoT: Will Your Car Let You Drive Home from the Bar?
In my new post on TechTarget's IoT Agenda, I explore how behavioral analytics could change driving for the better.
Fraud and Payments Predictions 2018: The Wallet Diet
I'm forecasting that in 2018, my wallet will become slimmer as physical (plastic) credit cards are replaced with payment apps on my smart phone.
Analytic Predictions 2018: 31 Flavors of AI
Here are some of the top things I think we'll see among the 31+ flavors of AI in 2018.
The Fraud Consortium: 9,000 Heads Are Better than 1
In terms of detecting fraudulent card transactions, there’s only one data source that offers the most predictive power, hands down: other card transactions, and lots of them.
Mobile Payments Fraud: How Strong Is Your Defensive Line?
Will banks bolster their defensive line with additional mobile payments fraud protections, driving further adoption?
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