Adaptive Behavioral
Analytics

Detect fraud in real time with Adaptive Behavioral
Analytics for secure, seamless transactions.

Credit card mockups

About Featurespace

Featurespace's ARIC™ Risk Hub leverages world-class machine learning and Adaptive Behavioral Analytics to detect fraud in real time. It distinguishes genuine activity from threats, minimizing false positives for secure, seamless transactions by understanding good behavior versus bad behavior.

History

Featurespace was founded by Cambridge Professor Bill Fitzgerald and his PhD student Dave Excell to leverage the power of data science in fraud prevention and behavioral prediction.

Their goal was to teach machines to identify good behavior
from bad behavior, resulting in the ARIC™ Risk Hub,
the world's first Adaptive Behavioral Analytics engine...

Their journey began in 2008 when an industry leader challenged them to create a system that could outsmart fraudsters by predicting high-risk activities while being able to adapt to individual changes in consumer behavior. Their work in adaptive behavioral analytics and deep learning for fraud prevention has won them a number of globally recognized accolades and is one of the globally recognized leaders in their industry.

Results

75%

fraud attacks blocked in real-time with a 5:1 false positive ratio

500

million consumers protected

50.4

billion events processed yearly

75%

reduction in false positive alerts

Why Leading Organizations Trust Featurespace

Thought Leadership

As fraud detection leaders, we share insights and best practices through research and whitepapers.

Proven Results

ARIC™ has a proven record of success, with many case studies showing how we reduce fraud and boost efficiency.

Global Leaders

Recognized by many third-party organizations as the leaders in machine learning for fraud prevention.

Expertise

Our team of experienced professionals and data scientists are dedicated to constantly improving and innovating our solutions.

ARIC™ All-in-One Solution

ARIC™ delivers real-time fraud prevention across payments, accounts, and merchants using adaptive intelligence to detect threats and reduce risks.

ARIC™ for Card Fraud

Our card fraud prevention models are powered by Adaptive Deep Behavioral Networks to secure all card types.

ARIC™ for Payment Fraud

Our solution secures corporate and consumer payments across all channels in real-time.

ARIC™ for Application Fraud

Combines behavioral insights with third-party data to detect first-party, third-party, and synthetic ID.

ARIC™ for Anti-Money Laundering

Find unknown threats before rules are triggered to reduce false positives and prioritize high-risk alerts

ARIC™ for Merchant Acquiring

Ensure swift identification of risks and ensure merchants are legitimate.

ARIC™ for Scam Detection

ARIC™ quickly spots impersonation, romance, and investment scams.

ARIC™ for Check Fraud

ARIC™ easily combines with vendors to detect check washing and counterfeiting.

ARIC™ for Account Fraud

Protect customer accounts and virtual assets from breaches, takeovers, and stolen identities.

Comparison

Traditional models for AML transaction monitoring

Frequent Retunes Needed

Done quarterly or even yearly

Model performance may drop dramatically betwen retunes

Cannot react quickly to money laundering that happens shortly after retune

Featurespace Adaptive Behavioral Analytics

Automatic feedback loop

Self - learning models

No manual retuning requirex

Truly adaptive

Key Features

Reduce False Positives

One of the best analytic engines and machine learning in the market

Adaptive Learning

Machine learning model continuously learns and adapts with each transaction across time

Multi-tenanted Solution

Single solution across multiple business channels (cards, payments, applications, merchants)

Real-Time Response

Provides risk assessment in real-time even for large transaction volumes

Scalability

Fits any business, big or small

Behavioral Profiles

Understands and stores each individual customer profile to distinguish good and bad behavior