INETCO has been recognized as a Sample Vendor in the Gartner Hype Cycle for Fraud and Financial Crime Prevention, 2025. We hold the view that this recognition confirms what our customers already know: INETCO is redefining how financial institutions and payment service providers outsmart fraudsters, stay compliant and keep their customers safe.
By incorporating technologies such as Generative AI (GenAI) and self-supervised learning (SSL), INETCO BullzAI achieves these vital goals like nothing else on the market today. The platform continuously learns from every transaction, updating behavioral models instantly and autonomously. It monitors transactions in real time, builds detailed profiles of users and devices, and uses a patented AI-driven firewall to block high-risk logins, terminals, or accounts before damage occurs. Unlike systems that rely on external vendors or lengthy retraining cycles, INETCO BullzAI adapts on its own, ensuring banks remain a step ahead of evolving threats.
INETCO BullzAI applies explainable AI and advanced user and entity behavioral analysis to deliver true real-time end-to-end transaction intelligence. By making every detection and prevention decision transparent and grounded in real-time behavioral insights, we empower financial institutions to take action with confidence. This level of clarity doesn’t just stop criminals faster, it builds lasting customer trust by proving that their institution is both proactive and accountable in protecting every payment journey.
—Ugan Naidoo, Chief Technology Officer, INETCO
We believe recognition from Gartner underscores INETCO’s role as a catalyst for innovation as real-time end-to-end transaction intelligence becomes mission-critical for fueling AI and preparing to fight next-gen financial crime worldwide. As Gartner 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.
We think this is more than just another mention. According to us, it’s a validation of our mission to help our customers deliver the payment security and reliability that all people deserve — every moment, every day.
Industry recognition
In addition to the Gartner Hype Cycle for Fraud and Financial Crime Prevention, 2025, INETCO has also been recognized in other Gartner reports that shape technology and investment decision-making for financial leaders worldwide:
Market Guide for Fraud Detection in Banking Payments
The report states: “Newer FDBP (Fraud Detection in Banking Payments) 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
Gartner Hype Cycle for Global Trade Finance Transformation in Banking, 2025
The report states: “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, 2025, Mary Yan, 21 July 2025
Gartner Hype Cycle for Government Tax and Revenue, 2025
The report states: “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, 2025, Arthur Mickoleit, 18 July 2025
2025 Gartner Market Guide for Anti-Money Laundering
The report 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.”
2025 Gartner Market Guide for Anti-Money Laundering, Pete Redshaw, 5 August 2025
We further feel each of these reports underscores the broadening impact of INETCO’s capabilities, supporting not only payment fraud detection and prevention and AML compliance, but also operational resiliency, risk management and regulatory compliance.
Why we believe this matters
In our opinion, being recognized across a wide span of Gartner research signals an important shift: Financial institutions and payment service providers are realizing that legacy monitoring and payment fraud prevention approaches are no longer enough.
Real-time, AI-powered end-to-end transaction intelligence — delivered by platforms like INETCO BullzAI for payment fraud prevention and INETCO Insight for transaction monitoring and performance management — is the new standard for safeguarding trust and resilience.
We invite you to explore the full list of Gartner reports featuring INETCO here.
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