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INETCO recognized in the Gartner® Hype Cycle™

For Fraud and Financial Crime Prevention, 2025

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 Hype Cycle for Fraud and Financial Crime Prevention, 2025. 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

Gartner Hype Cycle for Fraud and Financial Crime Prevention, 2025

The report states, “While it is a boon in many areas, criminals are, sadly but inevitably, using GenAI to create evermore convincing deepfakes and phishing attacks. Banks and vendors are fighting back by using GenAI to detect these new kinds of attacks, to explain and score fraud patterns, and to augment their existing systems by making them more accurate, more efficient and more productive.”

Gartner Hype Cycle for Fraud and Financial Crime Prevention, Vatasal Sharma, Pete Redshaw, 21 July 2025

Gartner Hype Cycle for Global Trade Finance Transformation in Banking, 2025

According to Gartner, “Self-supervised learning (SSL) is an approach to machine learning (ML) where labels or supervisory signals are created from the data itself, without having to rely on historical outcome data or external (human) supervisors to provide labels. SSL generates its own labels whereas the more familiar unsupervised learning finds patterns and relationships without labels. ML models used for fraud detection at banks are adopting SSL to keep up with the increasingly rapid evolution of new fraud types.”

Gartner Hype Cycle for Global Trade Finance Transformation in Banking, Mary Yan, 21 July 2025

Gartner Hype Cycle for Government Tax and Revenue, 2025

According to Gartner, “Generative AI (GenAI) augments existing anti-money-laundering (AML) and payment fraud detection systems through AI assistants, reporting tools, low-code capabilities and large transaction models. By generating synthetic payment data, it can train fraud detection models more effectively without the need for vast, real-world datasets. GenAI also has the potential to predict and simulate new fraud attacks, allowing financial institutions to better prepare and stress-test their detection systems.”

Gartner Hype Cycle for Government Tax and Revenue, Arthur Mickoleit, 18 July 2025

2025 Gartner Market Guide for Anti-Money Laundering

The repost states, “Most of the more progressive vendors now use a hybrid of both supervised and unsupervised training approaches for machine learning to optimize both detection and accuracy.”

Gartner Market Guide for Anti-Money Laundering, Pete Redshaw, 5 August 2025

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 Redshaw, 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 Redshaw, 13 August 2024

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