INETCO recognized in the 2024 Gartner® Market Guide

INETCO recognized in the 2024 Gartner® Market Guide

For Fraud Detection in Banking Payments

INETCO empowers financial institutions and payment service providers to offer their customers the most secure and trusted place to transact. Our AI-driven platform safeguards payments from fraud, cyber-attacks and money laundering with unparalleled accuracy and speed, helping organizations outsmart fraudsters, meet regulatory compliance and stay ahead of new threats without sacrificing the client experience.

We are excited to be recognized in the Gartner report as a Representative Vendor in Fraud Detection (Payments) Technology. We will continue to leverage comprehensive transaction data, real-time monitoring and individualized AI behavior modeling to deliver the payments security and reliability that all people deserve — every moment, every day.

INETCO Mentions

2024 Gartner Market Guide for Fraud Detection in Banking Payments

“Newer Fraud Detection in Banking Payments (FDBP) systems are ensuring that a bank’s fraud analysts and data scientists can see the “big picture” for fraud — as in, the patterns, relationships, spikes and clusters that indicate the changing trends for fraud over time and the true sources for crime (rather than just the symptoms). This is important if financial crime is to be dealt with earlier, proactively and more effectively.”

Gartner Market Guide for Fraud Detection in Banking Payments, Pete Radshaw, 11 December 2024

2024 Gartner Banker’s Guide to AML Tools for Productivity

“Banks’ biggest opportunity with AML tools lies in greater productivity and efficiency. Bank CIOs should not fall into the trap of focusing exclusively on improved risk scoring at the expense of more effective AML case investigations.”

Gartner Banker’s Guide to AML Tools for Productivity, Pete Radshaw, 13 August 2024

2024 Gartner Hype Cycle for Financial Crime

“Self-supervised learning enables machine learning (ML) models to be trained to detect anomalies in emerging fraud types for which historical, labeled data doesn’t exist. It ingests transaction data from payments systems and also signals from security systems such as behavioral biometrics and location intel.”

Gartner Hype Cycle for Financial Crime, Pete Redshaw, Erick Brethenoux, 31 July 2024

2024 Gartner Hype Cycle for Generative AI in Banking

“GenAI model innovation and techniques are crucial for not only enhancing the models themselves, but also for optimizing how users interact with these models and effectively utilize their outputs, thus transforming potential into real-world impact.”

Gartner Hype Cycle for Generative AI in Banking, Pete Redshaw, Agustín Rubini, 9 July 2024

2024 Gartner Emerging Tech: Gen AI Security Services for Online Fraud Prevention

“There is no putting the genie back in the bottle: Generative AI tools have found their way to the Online Fraud Detection (OFD) platform market and are there to stay.”

Gartner Emerging Tech: GenAI Security Services for Online Fraud Prevention, Dan Ayoub, 21 May 2024

Gartner Market Guide for Fraud Detection in Banking Payments, Pete Radshaw, 11 December 2024
Gartner Banker’s Guide to AML Tools for Productivity, Pete Radshaw, 13 August 2024
Gartner Hype Cycle for Financial Crime, Pete Redshaw, Erick Brethenoux, 31 July 2024
Gartner Emerging Tech: GenAI Security Services for Online Fraud Prevention, Dan Ayoub, 21 May 2024
Gartner Hype Cycle for Generative AI in Banking, Pete Redshaw, Agustín Rubini, 9 July 2024

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.