Feedzai is a Leader in Liminal’s Anti-Money Laundering Report

What would your financial institution do with an additional $2.5M to $37M every year? Financial services could save this much money annually by reducing false positives and automating SAR filing processes. This potential anti-money laundering savings is outlined in the Liminal AML Transaction Monitoring for Financial Services and Fintechs report.

Liminal’s report offers a detailed analysis of the top anti-money laundering (AML) vendors that deliver a wide range of solutions. Feedzai is proud to be named a leading vendor in Liminal’s rankings report. As an AI-first organization, this accolade further demonstrates our commitment to deploying advanced technology at the forefront of helping financial institutions manage emerging financial crime risks.

Feedzai Places Among Top 18 AML Leaders 

Feedzai placed among the top 18 leading vendors in Liminal’s Link Index for Transaction Monitoring Report out of 70 vendors in the anti-money laundering space. Vendors were assessed on the critical criteria financial services and fintech buyers value most when assessing AML transaction monitoring purchases. 

Additionally, leading vendors must also deliver future-facing services. In Liminal’s assessment, future-facing services are capable of managing the complete customer risk lifecycle. This begins at account opening and continues through fraud prevention and ongoing transaction monitoring. 

Future-facing AML capabilities include device risk scoring, location intelligence, and user risk scoring. Meanwhile, future fraud prevention capabilities include device fingerprinting and risk scoring, real-time fraud monitoring, bot detection, and behavioral profiling, to name a few. 

The Current State of the AML Market

Meeting essential compliance requirements and effectively tackling financial crime, while delivering a return on investment, is challenging. The Link Index highlights three critical AML solution challenges. 

• High Cost of AML Programs: The cost of AML transaction monitoring programs has risen by 23% in recent years. This is in large part due to the rising cost associated with  manual review processes. Many financial institutions view AML as a cost center instead of a financial crime prevention solution.
• Disparate Global Regulatory Landscape: AML regulations and complexity can differ significantly from one region to the next. This creates a fractured regulatory space that leads to inefficiencies in money laundering prevention. Fifty-eight percent of AML customers consider disparate regulations a significant barrier. 
• Emerging Role of Generative AI: Concerns about the role Generative AI (GenAI) will play in AML in the future resulted in 40% of organizations having serious questions about whether GenAI can be incorporated into AML monitoring. Potential bias and a lack of explainability are the chief concerns.

On that last point, many financial institutions realize they need innovative technology solutions to address evolving financial crime risks. However, few regulatory bodies offer guidance on integrating Generative AI into their AML workflows. As a result, many firms are uncertain how to test GenAI’s effectiveness as an AML asset.

The Hong Kong Monetary Authority (HKMA) and the Monetary Authority of Singapore (MSA) are among the exceptions. Both these agencies are forward-looking when it comes to encouraging the adoption and implementation of AI to make more informed and data-based decisions. 

How Feedzai Stands Apart as an AML Leader

Feedzai places among the top 18 vendors in Liminals’ Link Index report for delivering a holistic view of fraud and regulatory risks throughout the customer lifecycle. The report notes that our solution works from the moment customers onboard through stopping fraud with active defenses and ensuring AML and KYC compliance using ongoing transaction monitoring.

Liminal highlighted three key areas where Feedzai’s AML solution stands out as Excellent. 

• Future Product Capability (AML): Our AML platform—which delivers KYC/CDD and transaction monitoring capabilities—provides extensive coverage for compliance use cases across the customer lifecycle. 
• Future Product Capability (Fraud): Feedzai delivers critical features that integrate fraud prevention with AML efforts, including device risk scoring, social engineering and scams detection, VPN detection, and location intelligence, to name a few benefits. 
• Value for Money: Our customers recognize great value for their investment, notably as Fedzai provides solutions for future-facing challenges in AML and fraud prevention. As AML solution costs rise, our customers get more for their investment.

Fedzai’s key differentiator includes our AI-powered visual link analysis that can quickly pinpoint problematic relationships and shed light on connections between organizations, bank accounts, and businesses that might go undetected. Our advanced machine learning analytics automatically score alerts using multiple risk intelligence factors. This enables more effective alert prioritization, allowing AML investigators to assign the appropriate level of priority to alerts to maximize efficiency.

Revolutionizing SAR Filing and Risk Management with AI and Machine Learning

Handling Suspicious Activity Reports (SARs) is no small task. It’s resource-intensive, highly detailed, and demands compliance with jurisdiction-specific requirements.

Feedzai has integrated SAR filing capabilities into our Transaction Monitoring (TM) system, automating processes to meet the specific requirements of regions like the US, UK, and beyond. This automation pulls together transactional, customer, and counterparty data, streamlining the process while ensuring compliance.

Smart Tech to Tackle Risk

Our platform leverages built-in machine learning (ML) and AI at its core to enrich alerts and prioritize risks based on the likelihood of a SAR being filed. We can identify threats more effectively by training our models on risk data points. 

But we go a step further. Our system incorporates fraud patterns and behavioral insights, making it a comprehensive tool for financial crime prevention, including advanced data science capabilities. This integration empowers teams to analyze and address threats efficiently, using a “white-box” approach to explainability.

Why AI Explainability Matters

Regulators, particularly in the EU, have prioritized explainability for AI and ML models. Financial institutions must understand how algorithms make decisions—it’s not just a compliance requirement; it’s a trust issue. From the start, Feedzai has championed explainability and fairness in AI decisioning.

We’ve built safeguards to address challenges like model bias and drift, ensuring our solutions remain fair, transparent, and effective. Staying ahead of these critical requirements is part of what makes Feedzai a leader in AI-powered risk management.

By combining automation, advanced analytics, and a commitment to transparency, we’re helping businesses manage risk smarter and more confidently.

Feedzai Stands Apart with AI and Machine Learning Our Core

At Feedzai, AI and machine learning aren’t just tools—they’re part of our DNA. This deep-rooted focus on advanced technology enables us to take a truly risk-based approach to combating financial crime and why we were recognized as a leader in Liminal’s report.

Unlike traditional AML solutions that rely heavily on retrospective analysis, Feedzai leverages behavioral and biometric data alongside diverse risk signals. This allows us to assess risks with unparalleled precision, bringing in additional risk populations to refine model accuracy and overall scoring.

By combining robust governance with the ability to fine-tune models quickly using real production data, we empower businesses to adapt to threats faster. Our cloud-based capabilities also mean we can scale operations efficiently, reducing the traditionally long timelines for governance and deployment.

This agility, combined with our advanced AI-driven insights, positions Feedzai as a leader in AML innovation. By staying ahead of evolving threats and regulatory demands, we’re helping organizations address risk smarter and faster than ever before. All while focusing on delivering a critical return on investment.

• Blog: Enhancing AML Transparency with Smarter Data
• Report: Top 18 Vendors for AML Transaction Monitoring
• Report: The State of Anti-Money Laundering 2025
• Solution: Improve AML Efficiency with 
AI-powered Transaction Monitoring