# Feedzai TrustScore: Enabling Network Intelligence to Fight Financial Crime

DevFeed: [Feedzai TrustScore: Enabling Network Intelligence to Fight Financial Crime](<https://devfeed.tech/articles/feedzai-trustscore-enabling-network-intelligence-to-fight-financial-crime-26297.md>)

Original publisher: [Read original article](<https://medium.com/feedzaitech/feedzai-trustscore-enabling-network-intelligence-to-fight-financial-crime-9ce7fcff84fb?source=rss----e11168e7fe6b---4>)

Author: Sofia Guerreiro

Published: 2025-07-25T11:59:49Z

Content type: article

Language: en

Sources: [Feedzai](<https://devfeed.tech/sources/feedzai.md>)

Topics: [Network](<https://devfeed.tech/topics/network.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [banking](<https://devfeed.tech/tags/banking.md>), [feedzai](<https://devfeed.tech/tags/feedzai.md>), [financial](<https://devfeed.tech/tags/financial.md>), [financial-fraud](<https://devfeed.tech/tags/financial-fraud.md>), [fraud](<https://devfeed.tech/tags/fraud.md>), [fraud-detection](<https://devfeed.tech/tags/fraud-detection.md>), [genai](<https://devfeed.tech/tags/genai.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [network](<https://devfeed.tech/tags/network.md>), [network-intelligence](<https://devfeed.tech/tags/network-intelligence.md>), [report](<https://devfeed.tech/tags/report.md>), [research](<https://devfeed.tech/tags/research.md>), [scams](<https://devfeed.tech/tags/scams.md>)

## AI overview

This blog post introduces Feedzai TrustScore, part of the Feedzai IQ solution, as an AI-based approach to financial fraud detection. It describes how network intelligence and aggregated knowledge from Feedzai's processed events are intended to help detect threats earlier and adapt to changing fraud patterns.

## Source excerpt

By Sofia Guerreiro, Ricardo Ribeiro Pereira, Iker Perez, Jacopo Bono Detecting financial fraud is like finding a moving needle in a shifting haystack. Fraud accounts for a tiny fraction of financial transactions, often less than 0.1%. At the same time, fraudsters are constantly adapting their tactics to evade detection. And this happens within a live and dynamic environment, where financial behaviors and technologies are changing over time. In short, this is an exceptionally difficult problem for financial institutions. With the rise of digital banking and new technologies like GenAI, this problem is becoming even more challenging. In fact, fraud schemes are spreading faster, growing more sophisticated, and becoming increasingly coordinated across geographies. Meanwhile, many financial institutions still rely on detection systems that are either too rigid (e.g., relying on handcrafted rules) or too narrow (e.g., dependent on custom AI models), and neither option can keep up with the pace of change. At Feedzai, we've developed a new approach. In this blog post, we introduce Feedzai TrustScore, part of the Feedzai IQ™ solution. This is a state-of-the-art AI solution that combines the aggregated knowledge from our network of $8.02T yearly processed events to detect threats earlier, adapt continuously, and safeguard financial systems with speed and precision. Traditional Fraud Detection: Catching a Moving Target With a Fixed Net Every year, millions of people fall victim to financial fraud or scams, with a recent report revealing an average loss of over $2,000 per victim. To protect their customers, banks and other financial institutions have made great efforts towards detecting these suspicious transactions, sometimes temporarily blocking them, conducting internal reviews, and contacting the account owner to validate the activity. However, this is an inherently adversarial task, as malicious actors adapt to whatever detection system the banks have in place. These playe