Building a Secure Verification Strategy in Payments

Keep Pace with the Rapidly Growing Industry While Ensuring Compliance and Security

Verification in the Growing Payments Landscape

The payments landscape is expanding at breakneck speed, creating significant challenges for organizations onboarding new customers.

Cross-border payments had a total addressable market of $194.6 trillion in 2024 and is forecast to reach $320.2 trillion by 2032, according to FXC Intelligence. Nonwholesale cross-border payments totaled $39.9 trillion in 2024 and are set to grow 62% to $64.5 trillion in 2032.

While AI and machine learning can help expedite the payment onboarding process, companies are still striving to ensure their verification strategy is compliant and secure wherever they do business. Is your organization ready?

Overall cross-border payments global market size over time

Wholesale and retail cross-border payments market size

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Source: FXC Intelligence market sizing data and forecasts.

The State of the Growing
Payments Market

The payments landscape encompasses diverse methods of money movement, from cash and credit cards to digital wallets and cryptocurrency. It’s an evolving ecosystem that prioritizes convenience, security and efficiency across various platforms and channels. 

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Key features of the payments landscape include:
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Diverse Payment Methods

A wide array of payment options, catering to different customer preferences and transaction needs 

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Evolving Ecosystem

New technologies, trends and customer demands 

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Convenience and Efficiency

Focus on making transactions fast and easy for customers and businesses

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Security and Compliance

Various regulatory measures and security protocols to maintain the integrity of the financial system 

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Key Stakeholders

Entities such as issuing banks, acquiring banks, payment processors, payment gateways and payment networks 

Challenges and Experiences 
Facing Payment Organizations

With the rapid growth of payment transactions, quickly verifying new customers while maintaining data security and compliance is a major challenge. That becomes even more difficult when organizations work with customers across borders, where regulations, verification processes and strategies differ.

A manual approach to onboarding business customers can be a slow and costly process that’s open to human error. It can take three to four months to onboard and verify a new business customer, and the process can be open to fraud.

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Fraud Alerts

Ultimate beneficial owner (UBO) and person with significant control (PSC) information can be difficult to find

Nominee applicants can hide true ownership

Shell companies or trusts can obscure information with filings in different regions

Ownership percentages can get lost in complex paper trails

“For organizations that need to make payments to suppliers across borders, the need to verify their payment information becomes very important – making sure that a payment is going to the intended target and not ending up in the hands of a fraudster.”

Mike Frost
Trust and Safety Security Director, J.P. Morgan Payments

Compliance professionals need to work through a vast array of reports and data sets from around the world. That data can be old, inaccurate or in different formats that are hard to reconcile. Additionally, each company’s structure is different and can change, making it difficult to collect and interpret data.

A traditional, resource-intensive, manual approach can be challenging. But automated Know Your Business (KYB) and Know Your Customer (KYC) processes can give organizations a competitive edge, particularly when business and person verification are combined in a single workflow to rapidly identify and verify UBOs.

Solutions for Payment Security and Compliance

Solutions exist for compliant, secure verification in payments.

An integrated identity platform can combine multiple verification capabilities and apply data intelligence around the world to quickly onboard good business customers, manage fraud and maintain compliance. With the power of cutting-edge AI and machine learning models, onboarding workflows can retrieve business data in real time, coordinate responses and flag cases for manual review.

“Companies are very quickly realizing that the world of onboarding users through the means of digital services is very quickly turning into either a data nightmare or a data dream. It depends on how you do it.”

Julio Pena
Lead Solutions Consultant, Trulioo

When the KYB process identifies UBOs, an automated workflow can waterfall into KYC identity verification or watchlist screening. An integrated approach to business customer onboarding can help organizations quickly adjust to regulatory changes and accelerate their go-to-market strategies. Business verification with automation helps simplify company onboarding and strengthen due diligence to provide a fast, secure customer experience.

KYB verification during onboarding assesses a company’s background, 
owners, records and financial activities to identify risk.

KYB Onboarding Checklist

Verify business documentation

Analyze the business profile

Perform a risk assessment

Determine ownership and control

Implement enhanced due diligence

Conduct ongoing KYB

Look to the Future

Emerging verification trends in payments include AI-driven fraud detection, machine learning for stronger security and the integration of biometric authentication for faster and more secure transactions. Payments trends also include evolving regulations, such as the EU’s Payment Services Directive 3 (PSD3), as well as technological advancements, including embedded finances and the rise of localized payment experiences. 
“AI and ML offer a lot of potential. And it’s not just looking 
at different risk indicators that you might evaluate during onboarding and things like that in the payment space. One of the areas that we’re really excited about is the application of payment transaction history related to an account, the payment information that you might be onboarding, and being able to provide clients a risk-based signal that uses machine learning.”

Mike Frost
Trust and Safety Security Director, J.P. Morgan Payments

AI-driven systems handle KYC verification by cross-referencing information with databases and detecting discrepancies. The automation speeds up the onboarding process and supports compliance with regulations while decreasing the chances of fraud and identity theft.

Organizations are increasingly turning to AI and machine learning during verification for fraud detection, predictive analytics, accelerated onboarding and tailored user experiences. The algorithmic machine learning approach helps payments enterprises minimize risk and catalyze operational efficiency.

10 Applications for AI and Machine Learning in Payments Onboarding
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Fraud
detection

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Open
banking

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Stronger
security

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Local payment
improvements

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Accelerated
transactions

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Real-time
payments

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PSD3
compliance

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Contactless
payments

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Cross-border
compliance

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Digital
wallets

It’s time to explore the possibilities the latest verification technology can bring to payments onboarding. Speak to an expert about how you can put Trulioo Business Verification to work for you.

Speak to an expert
The World’s Identity Platform
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Trulioo is the world’s identity platform, trusted by leading companies for their verification needs. The Trulioo integrated, automated platform provides unparalleled global coverage for business and person verification and a comprehensive suite of in-house capabilities.

Combining its state-of-the-art technology with expertise across diverse markets, Trulioo enables the highest verification assurance levels, optimizing onboarding costs and fostering trust and security in the global digital economy.

Learn more about Trulioo