Featurespace: Fraud prevention technology company.

The new solution will manage fraud threats in real-time, boosting fraud detection rates by more than 70%, and reducing false positives by 80%.
Named GPS Fraud Advantage and powered by Featurespace, the technology is expected to go reside in mid-2023.
The new offering will take advantage of the expansion of GPS’ Fraud Prevention Team, providing comprehensive monitoring and management of fraud alerts through the entire payments process.
A lot more than 70 direct customers and more than 200,000 institutions ranging from HSBC and Worldpay to fellow Finovate alums like TSYS and Marqeta, rely on Featurespace’s technology to protect themselves against fraud and financial crime.
An innovator in neuro-scientific fraud prevention, Featurespace has developed technologies like Adaptive Behavioral Analytics and Automated Deep Behavioral Networks to profile both authentic and fraudulent behavior to combat financial crime in real-time.
Available as bank-grade standardized models for our solutions – including card fraud, application fraud, payment fraud, AML and merchant acquiring fraud – or customized according to your business needs.
Soldo, the European spend management platform, has partnered with UK fraud and financial crime specialist Featurespace to safeguard Soldo customers from

With Link Analysis, ARIC’s model captures subtle differences in customer behavior which can suggest an individual account is section of a wider fraud ring, enabling it to detect links between suspicious accounts.
ARIC Risk Hub enables significant analytical modelling capability to monitor application data from all angles, empowering risk teams to analyze multiple events simultaneously, at each step of the application form process.
Utilize Adaptive Behavioral Analytics technology for adaptive rules which may be authored and configured by your risk analysts.

“It’s great to partner with Soldo, which like us is really a fast-growing technology company,” said Matt Mills, Featurespace’s Chief Commercial Officer.
“Soldo made it clear right away that they needed a whole solution; from AML to card and payment fraud, and from PEP to sanctions. We’re delighted to have delivered this capability.”
Payment Fraud Prevention Protect your visitors and their accounts from fraudulent activity including debit card and non-card payment channels by profiling monetary and non-monetary data points, with reduced manual intervention.
The ARIC Risk Hub interface is customizable, so customers can select the the most suitable subset of components because of their specific needs.

• Due to this fact, GPS customers will be able to observe and manage fraud alerts through the entire span of payments.
• Risk scoring behavioral activity through-out the application form process minimizes friction and improves security.
• This model pipeline allows an individual’s new actions to be assessed via behavioral context learned from their past actions.

Featurespace™ is the world leader in Enterprise Financial Crime prevention for fraud and Anti-Money Laundering.
Featurespace invented Adaptive Behavioral Analytics and created the ARIC™ platform, a real-time machine learning software that risk scores events in a lot more than 180 countries to prevent fraud and financial crime.
ARIC™ Risk Hub uses advanced, explainable anomaly detection to enable finance institutions to automatically identify risk, catch new fraud attacks and identify suspicious activity in real time.
A lot more than 30 major global financial institutions are using ARIC to safeguard their business and their customers.
Publicly announced customers include HSBC, TSYS, Worldpay, NatWest Group, Contis, Danske Bank, ClearBank and Permanent TSB.

How Featurespace Benefits Their Customers

The other day, Featurespace announced a partnership with Railsr to help customers of the embedded finance platform better defend themselves from fraud and financial crime.
Per the agreement, Railsr’s fraud teams will be able to leverage card and payment fraud prevention and AML solutions via Featurespace’s ARIC Risk Hub.
Featurespace’s ARIC Risk Hub for enterprise fraud and financial crime monitors real-time customer data, using our proprietary machine learning inventions, Adaptive Behavioral Analytics and Automated Deep Behavioral Networks.
ARIC Risk Hub offers multiple solutions for fraud and Anti-Money Laundering analysts to spot suspicious activity and prioritize alerts with explainable anomaly detection.
At the same time, ARIC Risk Hub recognizes genuine customers without blocking their activity, reducing friction.
Featurespace continues to partner with best-in-class technologies to provide holistic FRAML solutions for smart-thinking finance institutions like Soldo.

It compares each financial event of a person to their profile using AI-powered adaptive behavioral analytics.
Global Processing Services announced a partnership with Finovate alum Featurespace to produce a new issuer processing fraud mitigation solution.
GPS will integrate Featurespace’s ARIC Risk Hub into its suite of fraud and risk management services.
U.K.-based fraud and financial crime prevention company Featurespace secured funding to greatly help build an AI-powered prototype to fight money laundering along with other financial crimes.
Truly another generation of Machine Learning, transformative Automated Deep Behavioral Networks undermines scams and protects against card and payments fraud more forcefully and accurately than ever thought possible.
Automated Deep Behavioral Networks has been developed designed for the Card and Payments industry.

Soldo And Featurespace Partner To Provide Increased Protection Against Fraud

It will also minimise positivity of false rates by 80% and handle fraudulent acts in real-time, noted the firm.
ARIC Risk Hub builds complex behavioral profiles of what it calls “genuine” customers by converging transaction and third-party data from across their lifecycle inside a financial institution.
ArkoseLabs provides online fraud prevention technology combining user risk assessment and enforcement challenges.
For banks, reimbursing victims of Zelle-related fraud is a partial solution.

• Available as bank-grade standardized models for the solutions – including card fraud, application fraud, payment fraud, AML and merchant acquiring fraud – or customized in accordance with your organization needs.
• Fraudsters are rapidly evolving their tactics to imitate genuine customer behavior and evade detection.
• The U.K.-based embedded finance company Railsr announced on Tuesday (Nov. 15) that it has partnered with Featurespace to greatly help protect Railsr customers from the threat of fraud.
• The company’s ARIC Risk Hub leverages machine learning and artificial intelligence to learn from and adjust to the cardholders’ historical transactions to supply risk assessments and alerts when potentially fraudulent activity is suspected.

Featurespace will offer its ARCICTM Risk Hub, which can help banks receive low false positive ratios with fraud catch rates to lessen overall fraud.
It was rooted in the study of University of Cambridge professor Bill Fitzgerald, who was looking to make a commercial impact with adaptive behavioral analytics, a technology he created.

Its Recurrent Neural Network based architecture improves fraud detection across the board, especially quality value – low volume and low value – high volume attacks.
“Through this partnership, finance institutions can protect every customer and transaction, with ARIC Risk Hub innovations for transaction monitoring built-into their transaction processing.”
The U.K.-based embedded finance company Railsr announced on Tuesday (Nov. 15) that it has partnered with Featurespace to help protect Railsr customers from the threat of fraud.
As part of the new partnership, Railsr will integrate Featurespace’s ARI Risk Hub into its anti-money laundering …

Featurespace invented Adaptive Behavioral Analytics and created the ARIC™ platform, a real-time machine learning software that risk scores events in more than 180 countries to prevent fraud and anti-money laundering.
Featurespace’s deep learning models have prevented a variety of fraud, including those that involve bank cards, payments, applications and money laundering.
Fraud prevention has traditionally been tied to delays in detection — with customers being notified only after money had already left their bank accounts.
But ARIC Risk Hub in under 30 milliseconds determines anomalies in even the slightest changes in a customer’s behavior.