The Fintech Times

FEBRUARY 5, 2025

The Digital Operational Resilience Act (DORA), Network and Information Security Directive 2 ( NIS2 ) and the EU AI Act share a common purpose: improve cybersecurity and operational resilience while ensuring responsible AI use. Meanwhile, 63 per cent of those claiming compliance report having transparency measures in place.

Compliance 64

Compliance Cybersecurity Audit AI 64

Nanonets

DECEMBER 13, 2023

Integrating AI and automation into the underwriting workflow presents a significant opportunity to minimize the time allocated to administrative tasks, manual processes, and repetitive data entries. In addition, AI can help insurance firms evaluate risk with high accuracy by analyzing large volumes of data.

AI 102

AI Process Fraud Detection Compliance 102

Fintech News

JULY 4, 2024

As artificial intelligence (AI) rapidly transitions from a nascent development to a ubiquitous technology accelerating advancements across the financial landscape, far-reaching implications for central banks worldwide are quickly emerging.

Central Bank 104

Central Bank AI Correspondent Bank Correspondent 104

PYMNTS

MARCH 6, 2020

There is scarcely a financial institution (FI) that does not claim to be using artificial intelligence (AI) in some capacity or other. What some banks purport to be AI is often lumped together with other less sophisticated computational systems or, in some cases, not AI at all but the result of intensive human labor.

AI 81

AI Credit Risk Regulatory Compliance Risk Assessment 81

Fintech Review

FEBRUARY 11, 2025

Artificial intelligence (AI) is transforming fintech. However, the debate continues: should AI replace human decision-makers or serve as an augmentation tool? While AI excels at processing vast datasets, it lacks human intuition. A balanced approach is necessary to harness AIs power without compromising human oversight.

AI 66

AI FinTech Risk Assessment Assessments 66

Stax

JANUARY 23, 2025

The merchant underwriting process helps reduce fraud (including chargeback volume), ensures compliance with regulations, and protects financial stability in the payment processing space. Key steps include application review, risk assessment, credit checks, and compliance verification.

Underwriting 68

Underwriting PCI DSS Money Laundering Processors 68

PYMNTS

APRIL 24, 2020

This is one reason why credit risk has emerged as one of the most promising applications of artificial intelligence (AI). AI is capable of processing and learning from massive volumes of data in real time and can flag risks long before they appear on the radar of conventional models. Among banks that use AI, 92.9

Credit Risk 100

Credit Risk Risk Underwriting AI 100

The Fintech Times

JULY 31, 2024

“One of the most meaningful ways we protect our customers and their homes is to work with them to understand and mitigate risk,” said Rebecca L. “One of the most meaningful ways we protect our customers and their homes is to work with them to understand and mitigate risk,” said Rebecca L.

Risk 59

Risk AI Risk Assessment Assessments 59

M2P Fintech

MARCH 24, 2025

With the evolution of cutting-edge technology came centralized data management that provides real-time insights, and AI-driven monitoring and analytics. From loan underwriting to collections, AI algorithms streamline processes, enhance accuracy, and improve the overall customer experience. Explainable AI (XAI) promotes transparency.

Payment APIs and Integration 52

Payment APIs and Integration Blockchain Regulatory Compliance Compliance 52

Finextra

JUNE 6, 2025

To address these issues, international leaders such as Klarna, Afterpay, PayPal, and Affirm are already using artificial intelligence (AI) and big data to minimise their losses and at the same time personalize services for customers and increase sales. AI-powered credit systems reduce default rates and improve customer satisfaction.

52

52

Fintech Finance

AUGUST 2, 2024

Leveraging machine learning and AI, the platform offers comprehensive monitoring and fraud detection capabilities. ComplyTek’s advancements in AI have significantly contributed to its recent industry recognition.

Instant Payments 94

Instant Payments Transactions Payment APIs and Integration Compliance 94

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. Additionally, SecureID provides data-driven risk scoring for informed decision-making and monitoring for potential risks in the user’s journey.

Checks 69

Checks Risk Assessment Security Payment APIs and Integration 69

Segpay

JANUARY 30, 2025

The rise of artificial intelligence (AI) is reshaping industries. AI promises innovation, higher efficiency, optimized accuracy, cost reduction and economic growth. The EU AI Act classifies AI systems into four different risk levels: unacceptable, high, limited, and minimal risk.

Merchant Payment Processing 52

Merchant Payment Processing Processors AI Process 52

The Fintech Times

JANUARY 28, 2025

Using alternative data sources removes the dependency on ‘credit history; and means banks can carry out faster and higher quality risk assessment and affordability analysis, expanding access to financing for those with limited banking backgrounds. Regulation can kill innovation.

Service Provider 59

Service Provider FinTech Underserved Innovation 59

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.

Risk Management 88

Risk Management Risk Regulatory Compliance Due Diligence 88

The Fintech Times

MARCH 18, 2024

These tools also enable businesses to tailor their fraud prevention measures, allowing for the integration of industry-specific rules and parameters that align with their unique risk profiles. These algorithms learn from historical trends and predict potential fraud risks before they even happen.

Fraud Prevention 59

Fraud Prevention AI Fraud Detection Payments 59

FICO

JANUARY 4, 2018

As artificial intelligence applications exploded last year, our blog posts on AI and machine learning drew thousands of readers. Indeed, taken together, they explored many aspects of Explainable AI and its applications, particularly in the area of credit risk. Explainable AI Breaks Out of the Black Box.

Posting 55

Posting AI Credit Risk Risk 55

VISTA InfoSec

AUGUST 22, 2023

As technology advances and the use of biometric data becomes more prevalent, it is crucial to address the privacy concerns and regulatory compliance associated with this sensitive data. Artificial Intelligence (AI) can also be utilized to ensure compliance and responsible handling of biometric data. Clearview AI Inc.

Privacy 130

Privacy Legal Compliance Best Practices 130

PYMNTS

SEPTEMBER 12, 2019

Financial services providers that slack on regulatory compliance and fail to safeguard their operations against money laundering, terrorist financing and other criminal activities may face damaged reputations and significant fines. Financial Companies’ Security And Regulatory Obligations . resources.

Suspicious Activity Report (SAR) 75

Suspicious Activity Report (SAR) FinTech Money Laundering AML 75

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. Any legislation around fraud and the application of AI should take this into account.”

Fraud Prevention 81

Fraud Prevention Scams Fraud Detection Regulatory Compliance 81

Seon

JUNE 24, 2024

The rise of online transactions and evolving cybercrime tactics highlight the urgent need for strong identity risk management and monitoring. Identity theft presents significant challenges to businesses, making proactive risk mitigation essential for regulatory compliance, trust, asset protection, and operational integrity.

Risk Management 52

Risk Management Mitigation Risk Identity Theft 52

Innovative Payments Association

AUGUST 29, 2024

Conduct a Risk Assessment Before building a compliance program, businesses should conduct a thorough risk assessment to identify potential compliance risks. This includes assessing the risk of money laundering, financial crime, and regulatory violations.

Cannabis Banking 52

Cannabis Banking Boot Camp Compliance Money Laundering 52

The Payments Association

OCTOBER 3, 2024

For instance, AI-powered customer support can provide instant assistance, enhancing customer satisfaction. Sophisticated credit-scoring algorithms allow for more accurate risk assessment, enabling banks to extend credit responsibly and efficiently. Banks that delay their digital transformation efforts do so at their peril.

Payment APIs and Integration 88

Payment APIs and Integration Online and Mobile Banking On-Demand Process 88

Fintech Review

JANUARY 24, 2024

Innovative strategies like peer-to-peer platforms and AI for risk assessment are revolutionizing the market, offering tailored loans and faster approvals, thereby boosting customer satisfaction.

Risk Management 105

Risk Management Assessments Small Business Innovation 105

Trade Credit & Liquidity Management

MAY 27, 2025

Traditional credit agencies, big data risk intelligence providers, and digital-native fraud platforms are racing to outpace fraudsters, each offering distinct strengths and facing unique challenges. Experian ( www.experian.com ): Offers credit risk assessment tools and fraud detection services, leveraging extensive consumer and business data.

Fraud Prevention 52

Fraud Prevention Fraud Detection Verification Risk Assessment 52

Nanonets

APRIL 11, 2023

The need to minimize risk and maintain loan portfolio quality : In a volatile economic environment, lenders must carefully manage risk to protect their loan portfolios and maintain financial stability. Manual compliance processes increase the risk of non-compliance and may result in costly fines or penalties.

Origination 52

Origination Automation Risk Assessment Underwriting 52

Finovate

JUNE 20, 2024

The rapid evolution of technology turned regulatory compliance into a daunting frontier. Misra , who sits at the forefront of this arena, is a pioneer in using LLMs to do the heavy lifting when it comes to compliance. Priya V Misra : EKAI is the first AI compliance ‘co-worker’ for risk and finance professionals.

Compliance 52

Compliance Regulatory Compliance Regulations AI 52

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. Here at FICO, AI is in everything we do. Compliance, is not just a toolset.

Financial Crimes 81

Financial Crimes Crime Compliance Technology 81

FICO

MARCH 24, 2021

However, financial institutions should also consider the introduction of machine learning and artificial intelligence (AI) as well as other new technologies, to go beyond simple red-flag indicators to appropriately detect the complex behavior associated with trade transactions. Maintain a strong Tone at the Top (“Culture of Compliance”).

Money Laundering 98

Money Laundering SARS Financial Crimes Fincen 98

Finovate

MARCH 29, 2024

The report revealed an “eight-month-long coordinated identity fraud ‘mega attack’ consisting of organized criminals executing more than 22,000 separate fraudulent onboarding efforts using AI-generated variations on a single passport. ” Founded in 2005, AU10TIX is headquartered in Hod Hasharon, Israel.

Verification 69

Verification Privacy AI AML 69

Fintech Finance

FEBRUARY 29, 2024

Socure’s AI-powered platform uses predictive analytics and a database of over two billion identities to provide industry-leading accuracy for KYC/CIP compliance, fraud detection and ID verification through its fully integrated suite.

Fraud Prevention 52

Fraud Prevention Process FinTech Online and Mobile Banking 52

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.

Privacy 64

Privacy Compliance Innovation FinTech 64

PYMNTS

OCTOBER 16, 2019

According to a recent study by Duffs & Phelps, in 2019 the largest proportion (57 percent) of financial institutions spend up to 10 percent of their overall budgets on regulatory compliance, a figure that is estimated to increase to 61 percent by 2023. Challenges and Solutions.

AML 49

AML Compliance Money Laundering Financial Crimes 49

Trade Credit & Liquidity Management

APRIL 16, 2025

Review the Current Cash Application Process Implement automated and AI solutions when appropriate 14. Verify that the Law and Venue clause is acceptable Verify that dispute resolution is in line with your company policy: (Jury or Judge Trial, Arbitration, Mediation) 12.

Regulatory Compliance 52

Regulatory Compliance Procedures Automation Disputes 52

The Fintech Times

DECEMBER 14, 2023

The use of AI in finance can bring big changes to how customers experience financial services, manage risks, detect fraud, and more. 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.

FinTech 69

FinTech Innovation Assessments Economy 69

Nanonets

APRIL 5, 2023

By using automation, lenders can also improve their loan processing times and reduce human error, ensuring regulatory compliance. Increased accuracy - automation can eliminate the risk of human errors in data entry and processing, resulting in more accurate customer filtering. How to automate customer filtering for lending?

Automation 52

Automation Process Risk Assessment Assessments 52

Nanonets

SEPTEMBER 18, 2024

Financial document automation uses technologies like advanced Optical Character Recognition (OCR), Artificial Intelligence (AI), and Machine Learning (ML) to streamline these processes.  Financial document automation is crucial to ease employee stress, improve customer service, reduce turnaround times, and enhance regulatory compliance.

Automation 52

Automation Audit Payment APIs and Integration Compliance 52