|
FICO Continues to Drive Innovation with 13 New Patents for AI, Machine Learning, Fraud and Decision Management Platform
Saturday, August 14, 2021
Latest innovations bring FICO's total US and Foreign Patents to Over 200
SAN JOSE, Calif., Aug. 6, 2021 /PRNewswire/ --
Highlights:
-- FICO has been awarded 13 new patents for fraud, AI/ML and decision
management platforms
-- FICO now holds 204 US and foreign patents
-- FICO currently has 85 pending patent applications
Leading digital decision platform company, FICO, today announced that it has been awarded 13 new patents related to artificial intelligence (AI), machine learning (ML), fraud and decision management platform. With the latest patents, FICO continues to help its customers digitally transform their businesses by automating key business processes and decisioning with industry-leading innovations.
With the 13 new innovations, FICO now holds 204 US and foreign patents and 85 pending patent applications. FICO has been responsible for multiple industry-changing innovations in artificial intelligence, machine learning, and other analytics methods. FICO's rich portfolio of analytics and fraud solutions helps clients grapple with ever larger volumes and variety of data across the enterprise as well as protect businesses against the latest fraud in real time.
"FICO provides our customers the solutions they need at the moments they need them, and driving forward their success is what allows us to thrive as an organization. We have created and nourished an environment that empowers my colleagues and myself to push the boundaries and continuously drive innovations that helps customers succeed. It's exciting to see our work receive that recognition," said Scott Zoldi, chief analytics officer, FICO.
The patents awarded to FICO and their innovative executives include:
-- "Explaining Machine Learning Models By Tracked Behavioral Latent
Features" by Scott Zoldi. This invention is a system and method to
explain machine learning model behavior, which can benefit not only
those seeking to meet regulatory requirements when using models but also
help guide users of models to assess and increase robustness associated
with model governance processes. This innovation is utilized in the
FICO® Falcon® Fraud Manager and FICO® Falcon® X models.
-- "Fast Automatic Explanation of Scored Observations." This patent by
Gerald Fahner and Scott Zoldi relates to systems and methods for
generating concise explanations of scored observations that strike good,
and computationally efficient, trade-offs between rank-ordering
performance and explainability of scored observations, based on a
framework of partial dependence functions (PDFs), multi-layered neural
networks (MNNs), and Latent Explanations Neural Network Scoring (LENNS).
-- "Detection Of Compromise Of Merchants, ATMS, And Networks." This patent
by Scott Zoldi relates to the generation of compromise profiles for
financial merchants and accounts based on a comparison of reported fraud
data with an account profile, account transaction profile, merchant
device profile, and merchant device account history profile-to quickly
identify when account information has been obtained by an unauthorized
third party and when. The systems and methods claimed by the patent
relate to FICO offerings for point of compromise and mass compromise
detection.
-- "System and Method for Linearizing Messages from Data Sources for
Optimized High-Performance Processing in a Stream Processing System."
This innovation by Shalini Raghavan and Tom Traughber relates to the
processing of data objects by a distributed stream computing system, and
more specifically, the linearized processing of data objects. This
technology is integrated with FICO® Decision Management Platform
Streaming.
-- Multi-Layered Self-Calibrating Analytics," an invention by Scott Zoldi
presents multi-layered, self-calibrating analytics for detecting fraud
in transaction data without substantial historical data including
limited or no outcome data. In markets where transaction history data is
not widely available, this invention enables an adaptive selection and
grouping of variables relating to real-time transaction data, for
processing by a number of independent self-calibrating models. The
outputs of these models are combined for an accurate fraud score based
on anomaly detection of discovered hidden latent features.
-- "Behavioral Misalignment Detection within Entity Hard Segmentation
Utilizing Archetype-Clustering" by Scott Zoldi and Joe Murray. This
invention is an automated way of learning archetypes which capture many
aspects of entity behavior, and assigning entities to a mixture of
archetypes, such that each entity is represented as a distribution
across multiple archetypes. Given those representations in archetypes,
anomalous behavior can be detected by finding misalignment with a
plurality of entities having archetype clustering within a hard
segmentation. FICO® Anti-Financial Crime Solutions uses this
technology.
Within the last 12 months, FICO was named a leader in digital decisioning as well as a leader in Innovation, AI Applications, and Financial Crime-Enterprise Fraud by leading analyst firms.
About FICO
FICO (NYSE: FICO) powers decisions that help people and businesses around the world prosper. Founded in 1956 and based in Silicon Valley, the company is a pioneer in the use of predictive analytics and data science to improve operational decisions. FICO holds more than 200 US and foreign patents on technologies that increase profitability, customer satisfaction and growth for businesses in financial services, telecommunications, health care, retail and many other industries. Using FICO solutions, businesses in more than 120 countries do everything from protecting 2.6 billion payment cards from fraud, to helping people get credit, to ensuring that millions of airplanes and rental cars are in the right place at the right time.
Learn more at https://www.fico.com
FICO and Falcon are registered trademarks of Fair Isaac Corporation in the U.S. and other countries.
View original content to download multimedia:https://www.prnewswire.com/news-releases/fico-continues-to-drive-innovation-with-13-new-patents-for-ai-machine-learning-fraud-and-decision-management-platform-301350065.html
SOURCE FICO
|
|
|
|
|
|
 |
The New Identity Theft Crisis: AI Scams, Child Victims, and Credit Damage Are All Spiking | Jan 22, 2026
|
|
AllSci Launches Hypothesis Publishing: A Seamless Way to Share, Connect, and Advance Scientific Ideas | Jan 22, 2026
|
|
Canadian Fintech Tuhk Inc., Founded by Ethoca and NuData Security Veterans, Raises US$6 Million Seed Round Led by FINTOP, with Lloyds Banking Group and Capital One Ventures | Jan 22, 2026
|
|
Darwin CX Caps a Banner Year with AI Launch, Sold-Out Events, and Industry Book Launch | Jan 22, 2026
|
|
Fintech Startup BON Credit Secures $3.5 Million In Funding | Jan 22, 2026
|
|
PayDo Launches Unified Payment Infrastructure Suite for Digital Businesses | Jan 22, 2026
|
|
Nudge Security Unveils Industry's Most Comprehensive AI Security Governance Platform | Jan 22, 2026
|
|
IoTeX Publishes MiCA-Compliant Whitepaper for IOTX, Enabling EU-Wide Alignment Under the New Regulatory Framework | Jan 22, 2026
|
|
Gametime Launches "12 Days of Gametime" Holiday Giveaway in Partnership with Barstool Sports | Jan 22, 2026
|
|
TSX Venture Exchange Market Data Now Available Across Over 40 Blockchains via Chainlink | Jan 22, 2026
|
|
|
|
