Feedzai has introduced Feedzai IQ Score, which is described as an AI-driven solution designed to enhance fraud prevention capabilities for banks worldwide. Announced on June 9, 2026, this new offering provides financial institutions with access to vast, network-sourced intelligence, enabling real-time detection of fraudulent activities and scams.
The launch addresses a persistent challenge in the industry known as the “Silo and Legacy Paradox.” Many banks rely solely on their internal data for risk assessment, which limits their ability to counter increasingly sophisticated fraud tactics.
Criminals often exploit multiple channels simultaneously, making isolated defenses inadequate.
Traditional approaches to upgrading comprehensive risk management systems can also be costly, time-intensive, and disruptive to ongoing operations.
Feedzai IQ Score offers an alternative through a simple API integration, available on the AWS Marketplace.
Banks can quickly connect to anonymized and aggregated insights drawn from Feedzai’s expansive global transaction network, which processes an impressive $9 trillion in volume.
This eliminates the need for extensive historical data from the bank itself or prolonged AI model training periods.
Institutions can achieve meaningful results within days, leveraging pre-trained models refined across diverse network data.
This approach proves valuable for smaller and mid-sized banks, which frequently lack the massive datasets or advanced technical expertise required to develop robust in-house fraud detection systems.
By utilizing network-level intelligence, these organizations gain a competitive edge while maintaining strict privacy standards for their customers.
The underlying federated intelligence framework allows risk signals to be shared across participants without ever exchanging raw or personally identifiable information.
Pedro Barata, Chief Product Officer at Feedzai, emphasized the collaborative nature of modern fraud defense.
He noted that no individual bank can combat evolving threats in isolation.
The new solution breaks down these barriers by delivering shared, collective knowledge, allowing organizations of every scale to improve decision-making and update their security measures efficiently, without requiring a complete system replacement.
Early results demonstrate substantial benefits.
Compared to conventional rule-based methods, the solution has shown the potential to identify four times more fraudulent cases while reducing false alerts by half.
For faster payment scenarios, integration requires only about 15 key data points to start delivering value.
The system relies on federated learning principles to distribute aggregated risk indicators securely, avoiding the compliance hurdles often associated with traditional data-sharing consortia.
Industry analyst Philip Mackenzie from Chartis highlighted the growing importance of such networked intelligence in tracking dispersed fraud patterns.
He described Feedzai’s offering as a standout feature, combining instantaneous cross-institutional perspectives with broad collective wisdom from various financial entities.
Feedzai, recognized as somewhat of a key player in AI-native tools for combating financial crime, supports top global banks, payment processors, and acquirers.
The company’s platforms help secure transactions for consumers, fostering safer movement of funds while addressing fraud, scams, and money laundering in real time. This launch represents a step toward more interconnected and intelligent defenses in the financial ecosystem, enabling institutions to stay ahead of threats.