Finextra

JULY 7, 2025

However, rapid growth brings challenges including scaling operations, ensuring regulatory compliance and maintaining robust IT infrastructure. These facilities offer flexible, scalable solutions with high availability, security and built-in regulatory compliance, eliminating the burden of managing an entire data centre.

FinTech

Finextra

JUNE 6, 2025

PayPal’s BNPL solution, Pay in 4, incorporates sophisticated fraud prevention technology and machine learning models to assess creditworthiness quickly. Among other things, Sezzle is using machine learning for customer risk assessment and to offer tailored financing options.

BNPL

EBizCharge

JUNE 12, 2025

Many merchant accounts and services also offer advanced security measures, such as fraud detection and tokenization, to protect both the business and its customers. Submit your application Once your needs are assessed, you’ll need to complete and submit a merchant account application with vital company information.

Process

Fintech Weekly

JULY 31, 2025

Subscribe to FinTech Weekly's newsletter Read by executives at JP Morgan, Coinbase, Blackrock, Klarna and more Artificial intelligence has become the backbone of modern financial technology, powering everything from fraud detection systems to algorithmic trading platforms.

AI

Nanonets

NOVEMBER 18, 2024

9 Ocrolus AI-powered processing with fraud detection 4.6/5 Fraud detection: Includes tampering detection and validation to identify suspicious activity, enhancing security in financial transactions. Assess the ROI by comparing these costs against time saved, reduced errors, and productivity gains.

Automation

The Fintech Times

JUNE 19, 2025

In claims, AI is accelerating resolution by automating triage – assessing who, what, when, and even recommending outcomes. “The increase in available data sources is transforming risk assessment capabilities. “The other most implemented AI use case is fraud detection.

AI

The Payments Association

MARCH 25, 2025

Reactive, not proactive: Rule-based systems fail to detect evolving threats. At SENDS, we recognised early that outdated practices compromise security and efficiency, so we embraced AI-driven solutions to transform fraud detection and compliance.

Regulatory Compliance

PYMNTS

APRIL 10, 2020

The study is part of the larger Unlocking AI series by PYMNTS, examining how AI and other computational systems are being used to manage critical business functions, including payments, regulatory compliance, risk assessment and fraud protection.

AI

Stax

AUGUST 22, 2024

PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks. Major risk factors for PayFacs include fraudulent transactions, merchant credit risk, regulatory compliance, and operational risks. The due diligence doesn’t stop at onboarding.

Risk Management

Nanonets

DECEMBER 13, 2023

The integration of fraud detection algorithms is paramount for error reduction. These algorithms analyze patterns and anomalies in the data to identify potential instances of fraud or misrepresentation. In addition, AI employs predictive analytics to assess and analyze historical claims data.

AI

The Payments Association

MARCH 14, 2025

3) Regulatory compliance Certain industries, such as cryptocurrency exchanges, gambling, and financial services, must comply with stringent know-your-customer (KYC) and anti-money laundering (AML) regulations. Use this guide to identify your MCC code, assess risk levels, and optimise your payment processing strategy.

Risk

The Fintech Times

AUGUST 29, 2024

Cashfree Payments , the Indian paytech and API banking solutions provider, has launched Secure ID, its end-to-end solution for identity verification, risk assessment and fraud prevention. Today, regulatory compliance is paramount for digital-first businesses to reduce losses and grow. With UIDAI recording 1.96

Checks

Fintech Review

FEBRUARY 11, 2025

Machine learning algorithms detect fraud, assess risks, and optimise trading strategies. Traditional models rely on limited data, whereas AI assesses alternative factors like transaction history and online behaviour. This enables more accurate risk assessments and financial inclusion. AI excels in data analysis.

AI

Fintech Finance

AUGUST 2, 2024

ComplyTek introduces an advanced transaction screening solution for instant payments , designed to ensure compliance and mitigate fraud within the critical 10-second processing window. Leveraging machine learning and AI, the platform offers comprehensive monitoring and fraud detection capabilities.

Instant Payments

Clearly Payments

SEPTEMBER 13, 2024

Fraud Prevention and Security: Many payment orchestrators incorporate advanced fraud detection tools , leveraging machine learning and AI to identify and prevent fraudulent activities. They also ensure compliance with industry standards like PCI DSS.

Payment APIs and Integration

Trade Credit & Liquidity Management

MAY 27, 2025

As the global marketplace grows more interconnected and transactions shift online, businesses face an unprecedented wave of commercial fraud attempts, from sophisticated “bust-out” schemes to synthetic identity fraud that blends real and fabricated data. billion in 2022 to $252.7

Fraud Prevention

Nanonets

MAY 31, 2023

Cybersecurity, fraud detection, and risk management: According to a Deloitte report , antifraud professionals hold that organizations face a greater risk of fraud than ever before, thanks to the advent of supply chain globalization, reliance on information technology, and rising economic instability.

AI

The Fintech Times

DECEMBER 28, 2023

Today our leaders address escalating challenges related to fraud and the need for businesses to take proactive measures to address these issues and maintain customer trust and regulatory compliance. In this pursuit, businesses like SEON can help companies to bolster their defences against sophisticated fraud schemes.

Fraud Prevention

Fintech News

JULY 4, 2024

In payments, AI-powered systems can enhance fraud detection and streamline cross-border transactions, potentially revitalising correspondent banking relationships that have dwindled due to regulatory pressures.

Central Bank

The Payments Association

OCTOBER 3, 2024

Sophisticated credit-scoring algorithms allow for more accurate risk assessment, enabling banks to extend credit responsibly and efficiently. Enhanced processing systems translate to faster payments, immediate customer account updates, and superior fraud detection powered by AI and machine learning.

Payment APIs and Integration

M2P Fintech

DECEMBER 17, 2024

A risk assessment follows, evaluating the merchants profile through credit checks and performance analysis, leading to application approval or rejection based on these findings. Risk Management Advanced fraud detection tools monitor transactions in real time to identify potential fraud.

Fraud Detection

Fintech Review

JULY 16, 2024

Loan applications become more efficient, as lenders can quickly and accurately assess an applicant’s financial health through direct access to banking data. Regulatory compliance is crucial to ensure that data sharing practices adhere to legal standards and protect consumer rights. It also promotes financial inclusion.

Innovation

The Fintech Times

MARCH 18, 2024

Investing in advanced solutions that can navigate the evolving regulatory landscape and protect against increasingly sophisticated tactics has become more critical than ever. These algorithms learn from historical trends and predict potential fraud risks before they even happen.

Fraud Prevention

Tearsheet

JULY 1, 2024

Two-factor authentication, encryption and fraud detection are minimum requirements. First and foremost, your security must exceed industry compliance standards. Start with a risk assessment. Transparency and Trust Gen Z expects clear terms of engagement: no hidden fees or unexpected surprises in the fine print.

BNPL

Nanonets

AUGUST 16, 2024

Artificial Intelligence (AI) AI is particularly brilliant at handling complex tasks like fraud detection, risk assessment, and claims adjudication. Advanced AI systems can cross-check claim details against policy data, third-party databases, and historical claim records to detect anomalies and assess the validity of claims.

Automation

Fintech Finance

FEBRUARY 29, 2024

By combining Socure’s accurate and inclusive identity verification and fraud prevention ID+ platform with Trustly’s guaranteed Pay by Bank offering, merchants can onboard users and process payments in one integrated flow. The joint solution allows merchants and fintechs to accelerate time-to-revenue while ensuring regulatory compliance.

Fraud Prevention

Seon

SEPTEMBER 20, 2024

AI and ML have shown potential in document processing and fraud detection. Differentiating between actual fraud and bad credit decisions continues to be a struggle for many lenders. Regulatory compliance adds another layer of complexity.

Risk

Neopay

JUNE 27, 2024

Your senior team will all need to have understand the obligations on the firm and be able to prioritise regulatory compliance and its impact across the business. Additionally, firms should stay updated on regulatory changes and developments in the payments industry.

Financial Crimes

The Fintech Times

DECEMBER 14, 2023

Take, as a few examples, the way AI is now used for risk-assessment purposes, analysing large amounts of data, and assessing creditworthiness quickly and effectively. Or in fraud detection , where it can recognise patterns, anomalies, and suspicious activities in real-time.

FinTech

The Payments Association

MAY 16, 2025

It outlines ten regulatory changes affecting merchants in the UK and EU between 2025 and 2026. These developments will impact merchant compliance, cost structures, customer experience, and operational risk. Merchants should assess exposure, engage with providers, and begin implementation planning ahead of key deadlines.

Regulations

FICO

MARCH 6, 2020

With the acquisition of Tonbeller in 2015, FICO expanded its fraud portfolio and moved into the growing market for financial crime and compliance solutions to bring the benefits of advanced analytics to a field dominated by rule-based systems. What does FICO offer and how does it distinguish from other AFC solutions?

Financial Crimes

Nanonets

SEPTEMBER 27, 2024

In the insurance industry, STP translates to automating various processes such as financial credibility assessment, KYC/Identity verification, underwriting, and claims processing. to assessment, verification, and settlement. Claims Processing Claims processing is perhaps the most visible and impactful area where STP can be implemented.

Process

The Payments Association

SEPTEMBER 30, 2024

It highlights key trends, such as open banking, tokenisation, and fraud prevention, which are crucial for merchants to remain competitive and secure. Merchants need to continue adapting to new payment methods, collaborate with industry peers, and stay agile in balancing innovation and regulatory compliance. What’s next?

Fraud Prevention

EBizCharge

JULY 16, 2024

Risk management Financial institutions and third-party service providers must construct and execute a risk-based approach to detect and prevent fraudulent ACH transactions. This includes developing policies and tools to adequately identify, assess, and mitigate potential fraud.

NACHA

FICO

APRIL 28, 2020

Customer Onboarding & Management Banreservas , the largest bank in the Dominican Republic, has centralized and automated its credit origination processes, enabling it to assess 80 percent of its loans automatically, increase loans processed by 30 percent and offer up-sells to 47 percent of approved applicants. Regulatory Compliance.

Financial Inclusion

M2P Fintech

JANUARY 21, 2025

Effective Fraud Detection: By integrating machine learning into advanced fraud detection mechanisms, it effectively identifies and prevents fraudulent activities. These features protect sensitive borrower data, ensure regulatory compliance, and foster borrower trust.

Origination

The Fintech Times

MAY 14, 2024

AI & ML Artificial intelligence (AI) and machine learning (ML) are revolutionising various aspects of fintech, from risk assessment and fraud detection to customer service and personalization. Regulation and compliance Fintech companies continue to grapple with evolving regulatory frameworks globally.

Compliance