Fintech Review

APRIL 3, 2025

London, United KIngdom, April 3rd, 2025, FinanceWire Virturo.com Virturo senior strategists Eduard Becker and William Rieke have developed a series of AI-driven strategies aimed at refining contract-for-difference (CFD) trading for high-net-worth individuals (HNWIs).

AI 52

AI Risk Management Risk Assessment Assessments 52

Finovate

SEPTEMBER 23, 2024

You’ve seen the hype around Generative AI (GenAI). And perhaps you even have an AI strategy in place at your organization. But because the development of AI moves faster than any enabling technology we’ve seen in banking in the past, it’s important to think ahead to the next iteration.

AI 105

AI Assessments Compliance Risk 105

The Payments Association

FEBRUARY 17, 2025

AI and machine learning: Strengthening security and financial access Artificial intelligence is transforming risk assessment and fraud prevention in the payment ecosystem. AI plays a crucial role in fraud detection and compliance, ensuring that financial inclusion does not come at the cost of security.

Innovation 88

Innovation Cross-Border Financial Inclusion Payment APIs and Integration 88

The Payments Association

FEBRUARY 10, 2025

AI can enhance transaction monitoring, while stronger KYC processes and staff training will help manage risks and maintain compliance. Partnering with regional providers, leveraging AI for fraud detection, and conducting regular audits will ensure compliance, transparency, and operational excellence.

IBAN 88

IBAN AML Master Account Due Diligence 88

Finovate

DECEMBER 11, 2024

With the launch of its new GenAI Financial Crime Detection Suite, ThetaRay aims to enhance risk assessment, streamline operational workflows, and strengthen anti-money laundering (AML) reporting to reduce fraudulent activity, such as money laundering and terrorist financing. Vice President Yina Arenas.

Financial Crimes 59

Financial Crimes Crime Money Laundering Risk Assessment 59

Finextra

MARCH 7, 2025

But according to Umazi, a next-generation compliance and digital identity platform leveraging AI and Web3 to automate due diligence and risk assessments, while here in the UK business and government face a number of challenges to its roll-out, the rewards could not be greater.

Due Diligence 52

Due Diligence Risk Assessment Assessments Automation 52

The Paypers

JUNE 19, 2024

Lithuania-based regtech provider iDenfy has announced the launch of its AI-enabled Customer Risk Assessment solution, completing its KYC/KYB/AML compliance suite.

Risk Assessment 41

Risk Assessment Assessments Risk AML 41

Fintech Review

MAY 7, 2024

The fintech sector is currently undergoing a significant transformation, with artificial intelligence (AI) and machine learning at the forefront of this change. Risk Assessment and Management Machine learning is fundamentally transforming the landscape of risk assessment and management within the financial sector.

AI 98

AI FinTech Risk Assessment Fraud Detection 98

Fintech Review

MARCH 11, 2025

NYC, NYC, March 11th, 2025, FinanceWire Feedzai , the global leader in AI-native fraud prevention solutions, today announced the launch of ScamAlert, an innovative GenAI-powered fraud prevention agent built from a deep understanding of tactics fraudsters use to exploit consumers.

Scams 52

Scams Fraud Prevention Risk Assessment Financial Crimes 52

Fintech News

APRIL 16, 2024

Generative artificial intelligence (AI), also known as gen AI, is expected to significantly impact risk management over the next five years, allowing financial institutions to automate tasks, accelerate processes and improve efficiencies. Following a credit decision, gen AI can draft the credit memo and contract.

Risk Management 112

Risk Management Risk AI Use Case 112

Bank Automation

MARCH 18, 2024

This demand is driving a transformative shift towards leveraging Artificial Intelligence (AI) and automation to redefine credit and risk assessment strategies. In the dynamic world of financial services, the need for rapid and precise credit decisions has never been more crucial.

Credit Risk 83

Credit Risk Automation AI Risk 83

Finextra

FEBRUARY 7, 2025

Cytora has announced the latest version of its digital risk processing platform. enhances the capabilities of the platform by harnessing agentic AI in a fully explainable way. Cytora Platform 3.0

Risk Assessment 52

Risk Assessment Assessments Risk AI 52

The Fintech Times

FEBRUARY 15, 2025

The five-day event saw experts from across the financial market come together to discuss and learn about AI-driven financial services, investment platforms, strategic partnerships, fraud prevention and more. LEAP 2025 featured a dedicated Fintech Track, covering digital banking, blockchain applications, and AI in finance.

Innovation 64

Innovation Fraud Prevention AI Compliance 64

The Payments Association

MAY 16, 2025

AI is transforming compliance in financial services, offering efficiency gains while introducing new risks that demand robust governance. Artificial intelligence (AI) is no longer a futuristic concept. 85% of digital-first payment firms report live AI integration, particularly in fraud analytics and real-time risk scoring.

Compliance 88

Compliance AI Risk Audit 88

PYMNTS

DECEMBER 14, 2020

consumers think about artificial intelligence (AI) as it relates to their financial lives? Just ask them, as was done for the December 2020 How To Put AI In Your 2021 FI Business Plan Playbook , a collaboration with Brighterion. Better credit management is just one benefit AI can confer to banks, however,” per the Playbook.

AI 87

AI Online and Mobile Banking Risk Assessment Credit Risk 87

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 101

Central Bank AI Correspondent Bank Correspondent 101

The Fintech Times

SEPTEMBER 14, 2024

Having already explored compliance challenges, penalties and solutions, we now turn our attention to the technology of the moment: AI. While we’re well aware that AI is currently spoken about in absolutely every context, we also understand the huge impact it can have across sectors and operations.

Compliance 106

Compliance AI Process Suspicious Activity Report (SAR) 106

PYMNTS

DECEMBER 9, 2020

There are countless technologies banks are employing to help them in this task, but none are as effective as artificial intelligence (AI). The practical applications for AI extend far beyond credit risk assessment and detection, however.

Credit Risk 98

Credit Risk AI Risk Fraud Detection 98

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

Finovate

DECEMBER 6, 2023

When it comes to predicting the next leap in fintech, you have to risk not only getting things wrong , but also being ok with it. Technological demands The financial services industry loves generative AI, but even though it is the hottest topic in fintech at the moment, it comes with its own set of restrictions. Hint: It’s Not AI.

AI 104

AI FinTech CHIPS Risk Assessment 104

Fintech News

JANUARY 21, 2025

Artificial intelligence (AI) is also gaining traction, particularly for risk assessment and operational efficiency. In particular, cloud computing is becoming increasingly prevalent, with 60% of banks in Singapore migrating their core systems to the cloud.

Payment APIs and Integration 106

Payment APIs and Integration Finance Cross-Border API 106

FICO

NOVEMBER 30, 2016

These intelligent scores can be used to assess risk in the underwriting process for cyber security insurance, an exploding category that CFO magazine calls a “must have” : “A September [2016] survey by the Risk and Insurance Management Society found that 80% of the companies bought a stand-alone cybersecurity policy in 2016.”

AI 108

AI Compromise Risk Assessment Assessments 108

The Payments Association

MARCH 25, 2025

The fintech sector is evolving rapidly, transforming financial transactions, but it is also facing growing regulatory scrutiny and risks, such as fraud and cybersecurity threats. As director/MLRO of SENDS, a UK-licensed EMI, I see AI’s potential in fraud prevention, AML, and compliance.

Regulatory Compliance 136

Regulatory Compliance AML Compliance PCI DSS 136

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

Finovate

FEBRUARY 10, 2025

It combines behavioral biometrics, behavioral analytics, advanced malware detection, and network and device assessment to provide active and preemptive defense against threats. ” Headquartered in San Mateo, California, Feedzai offers technology that leverages AI to help businesses fight fraud and financial crime. .

Financial Crimes 64

Financial Crimes Crime Fraud Prevention Account Takeovers 64

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

PYMNTS

APRIL 28, 2019

Set up in 2016 by companies including Google, Microsoft, Amazon and Facebook, The Partnership on AI released a report that stated algorithmic risk assessment tools cannot properly provide the right level of transparency and accountability. This report documents the serious shortcomings of risk assessment tools in the U.S.

Law Enforcement 58

Law Enforcement Laws Risk Assessment AI 58

Fintech Review

JUNE 12, 2024

We explore the innovations in personalised insurance products, the role of IoT devices in data collection and risk assessment, and the challenges faced by established insurance companies integrating new technologies. Enhanced Risk Assessment IoT data provides insurers with a more accurate understanding of risk profiles.

Risk Assessment 96

Risk Assessment Regulatory Compliance Assessments Risk Management 96

The Fintech Times

MAY 1, 2025

AI is already disrupting every area of the financial services industry, and is being included in almost every strategic conversation around technology-enabled transformation. High-quality, accurate data lies at the core of every successful AI implementation. It is here that a data-driven approach must be agreed upon.

AI 45

AI Risk Fraud Detection Risk Assessment 45

The Finance Weekly

SEPTEMBER 23, 2021

To improve operations, businesses are combining digital payment solutions and AI-powered gadgets. Robotics & Artificial Intelligence (AI). The meticulous analysis that can disclose insights normally hidden from humans is at the heart of an AI-driven solution. Listed below are some examples of AI in action.

Risk Assessment 130

Risk Assessment Cross-Border AI Automation 130

Finovate

JANUARY 15, 2025

The chill has been taken out of the industry as investors regain confidence, new startups can launch with less risk, and established players are doubling down on new technologies to meet evolving customer demands. From fresh AI applications to the new uses for embedded finance, fintech is experiencing a renewed momentum.

Embedded Finance 52

Embedded Finance FinTech Payment APIs and Integration AI 52

PYMNTS

NOVEMBER 23, 2020

The latest JAGGAER software release offers new artificial intelligence (AI)-based ways of measuring risk and optimizing the purchasing process, a press release says. It will give the user a series of choices meant to hone in on their individual preferences, with each use helping the AI system to better learn their preferences.

Risk 70

Risk AI Risk Assessment Assessments 70

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

Stax

JANUARY 23, 2025

Key steps include application review, risk assessment, credit checks, and compliance verification. Merchant account underwriting is the evaluation process payment processors use to assess whether a business meets the criteria for accepting credit card payments. Learn More What is Merchant Account Underwriting?

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

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