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. It proactively identifies potential threats through automated risk assessments, allowing for preventive measures.

AI 102

AI Process Fraud Detection Compliance 102

M2P Fintech

MARCH 24, 2025

“One-click” loans become reality through instant credit assessments. Enhanced fraud detection ensures security, while alternative data expands accessibility, especially for those with limited credit history. AI, ML, and blockchain enhance risk assessment and security.

Payment APIs and Integration 52

Payment APIs and Integration Blockchain Regulatory Compliance Compliance 52

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 81

Fraud Prevention Scams Fraud Detection Regulatory Compliance 81

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 52

Fraud Detection PCI DSS Disputes Settlement 52

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 103

Central Bank AI Correspondent Bank Correspondent 103

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 105

BNPL Online and Mobile Banking Encryption Payments 105

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 88

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

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 59

Fraud Prevention AI Fraud Detection Payments 59

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 52

Fraud Prevention Process FinTech Online and Mobile Banking 52

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 52

Financial Crimes Money Laundering Compliance Crime 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

Nanonets

AUGUST 16, 2024

Artificial Intelligence (AI) AI is particularly brilliant at handling complex tasks like fraud detection, risk assessment, and claims adjudication. Fraud detection: Fraudulent claims are one of the insurance industry's biggest challenges.

Automation 52

Automation Process Fraud Detection Payment APIs and Integration 52

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 52

Origination Payment APIs and Integration Underwriting Automation 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. What does FICO offer and how does it distinguish from other AFC solutions?

Financial Crimes 81

Financial Crimes Crime Compliance Technology 81

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 69

FinTech Innovation Assessments Economy 69

The Fintech Times

SEPTEMBER 19, 2024

Lynn , partner at BPM , an assurance, advisory, tax and wealth management company, explains the benefits that automation can offer firms: “Risk orchestration is designed to enhance fraud detection and reduce risk to the entity that implements it.

Risk 59

Risk Financial Crimes AML Risk Management 59

The Fintech Times

APRIL 30, 2024

“They’re also developing value-added services like fraud detection and data analytics to remain competitive. They also focus on regulatory compliance to ensure secure and trustable transactions within the embedded finance ecosystem.” Their strengths are assessment, management, and specialised services.

Embedded Finance 69

Embedded Finance Finance Payment APIs and Integration Processors 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.

Automation 52

Automation Process Risk Assessment Assessments 52

Seon

JUNE 29, 2023

KYT is a regulatory compliance requirement. Depending on each organization’s risk tolerance, this may be where parties associated with the suspicious transaction are subjected to further security checks or trigger a more comprehensive manual review by risk teams. Ask an Expert What Does KYT Mean for AML Compliance?

Transactions 52

Transactions Due Diligence Money Laundering AML 52

Segpay

MARCH 10, 2025

Security & Fraud Prevention Given the high-risk nature of online gaming, security is non-negotiable. Look for a gateway that includes PCI compliance, fraud detection tools, chargeback mitigation strategies, and AI-driven risk analysis to protect transactions and user data.

Payment Gateways 40

Payment Gateways Gateways Payment Solutions Payment APIs and Integration 40

Nanonets

SEPTEMBER 27, 2024

These pain points span across various aspects of insurance operations, from customer experience and fraud prevention to operational efficiency and regulatory compliance. Fraud Detection    Automation aids in identifying and flagging suspicious patterns through data analytics and real-time monitoring.

Process 52

Process Underwriting Automation Database 52

Segpay

MARCH 20, 2024

Enhanced Fraud Detection and Security One of the most significant advantages of AI and Machine Learning in banking is its ability to detect fraudulent activities and enhance security measures. Risk Management and Compliance AI is crucial in risk management and regulatory compliance within the banking industry.

AI 111

AI Privacy Non-Bank Fraud Detection 111

Fintech Review

FEBRUARY 25, 2025

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning are revolutionising trade finance by enhancing risk assessment, fraud detection, and operational efficiency. Fraud detection is another critical application of AI in trade finance.

Finance 85

Finance Technology Distributed Ledger Technology (DLT) Fraud Detection 85

Fintech News

FEBRUARY 11, 2025

According to Deloitte , the financial services sector is one of the largest adopters of artificial intelligence (AI) , with over 60% of financial institutions leveraging AI-powered solutions for decision-making, risk assessment, and automation. To bridge the regulatory gap, APAC financial institutions should do something, fast.

AI 117

AI Regulations APACS Consumer Financial Protection Bureau (CFPB) 117