Seon

SEPTEMBER 20, 2024

SEON recently brought together industry leaders from the online lending space to discuss the evolving landscape of fraud prevention and risk management. The Changing Face of Fraud In what many describe as an “unpredictable era,” lenders are collectively challenged to stay ahead of increasingly sophisticated fraudsters.

Risk 52

Risk Fraud Prevention Risk Management Deepfake 52

Fintech News

APRIL 28, 2024

By leveraging, advanced technologies such as cloud computing, AI/ML, biometric authentication, anomaly detection algorithms, and real-time monitoring systems, banks can enhance their fraud detection capabilities, identify suspicious patterns, and mitigate risks more effectively.

AI 89

AI Innovation Financial Crimes Crime 89

EBizCharge

JULY 16, 2024

Ensuring compliance with NACHA requirements is crucial for financial institutions, as it guarantees the secure, efficient, and reliable handling of electronic payments. Through a robust risk management framework and stringent security rules, NACHA strengthens trust in the digital payment ecosystem. What is NACHA?

NACHA 52

NACHA Nacha Rules ACH Network ACH 52

Seon

JULY 10, 2024

While both types of monitoring aim to protect businesses and their customers, fraud transaction monitoring focuses more on identifying and preventing criminal activities. In contrast, payment transaction monitoring ensures regulatory compliance and the proper processing of legitimate transactions. What is fraud risk monitoring?

Transactions 52

Transactions Fraud Prevention Regulatory Compliance Payments 52

Fintech Review

DECEMBER 3, 2024

AI-powered fraud detection systems analyse patterns to identify suspicious activity in real time. Accepting cryptocurrencies can attract tech-savvy customers, though it requires careful risk management. Regulatory compliance adds further complexity, demanding robust systems and staff training.

Payment Solutions 86

Payment Solutions Payments Contactless Payments Online and Mobile Banking 86

The Fintech Times

SEPTEMBER 19, 2024

However, risk orchestration is a process promising to help fintechs and financial institutions combine their customer onboarding, authentication and risk management processes into one place. “This is done through the integration of risk management, adaptive risk mitigation, process automation, and real-time analysis.

Risk 59

Risk Financial Crimes AML Risk Management 59

FICO

NOVEMBER 23, 2021

He has held various roles in product development, risk management, software development and consulting for banks, hedge funds and software firms, including Standard Chartered Bank, TCG Group, HCL and Cognizant. Sid’s analyst research is focused on the intersection between risk management and high-performance analytics.

Regulatory Compliance 52

Regulatory Compliance Financial Inclusion Risk Management Consulting 52

FICO

MARCH 6, 2020

FICO brings AI and advanced analytics to risk management, fraud detection, collections and much more. We serve corporates, insurance companies, and banks – be it a retail, private, wealth management, automotive or telecom bank, tier 1 or tier 3 bank.

Financial Crimes 81

Financial Crimes Crime Compliance Technology 81

The Fintech Times

MAY 14, 2024

My previous roles in corporate banking and investments, coupled with my experience in building tech companies, have provided me with a unique blend of financial insight, strategic thinking, client relationship management, risk management, entrepreneurship, and technical expertise.

Privacy 64

Privacy Compliance FinTech Innovation 64

FICO

OCTOBER 7, 2019

Decision Management Innovation: Medscheme and Santander. Fraud & Security: EnterCard and FIS. Regulatory Compliance: Canadian Tire Financial Services. Sid Dash , research director at Chartis for risk management analytics. Commendation: Santander Polska. Financial Inclusion: China Construction Bank.

Fraud Detection 40

Fraud Detection Regulatory Compliance Financial Inclusion AI 40

Nanonets

FEBRUARY 12, 2024

Enhanced Fraud Detection AI emerges as a formidable ally in the perpetual cat-and-mouse game with fraudsters. Machine learning algorithms can detect subtle anomalies and irregularities in data patterns, signaling potential fraudulent activities. Regulatory compliance challenges also loom large.

AI 52

AI Fraud Detection Regulatory Compliance Automation 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

M2P Fintech

JULY 28, 2023

Key Ancillary System Integrations Our ability to seamlessly stitch in loyalty programs, personal finance, fraud and risk management , reconciliation , core banking , and KYC modules with the debit card management solution sets us apart from our peers.

Debit Card 52

Debit Card Payment APIs and Integration Reconciliation Online and Mobile Banking 52

Segpay

OCTOBER 18, 2023

By partnering with a payment processor that offers risk management as a value-added service, merchants can focus on their core business: selling their products and/or services. Merchants must have effective compliance programs to prevent transaction laundering, protect their brand and reputation, and ensure regulatory compliance.

Transactions 52

Transactions Due Diligence Money Laundering Legal 52

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 52

Automation Process Fraud Detection Payment APIs and Integration 52

FICO

MAY 27, 2021

Decision Management Innovation. eDriving , a leading global provider of digital driver risk management programs, partnered with FICO to create a score based on telematic driving data. Conductor , the leading banking-as-a-service platform in Latin America, increased fraud detection by 25 percent.

Online and Mobile Banking 52

Online and Mobile Banking Liquidity Risk Risk Fraud Detection 52

Nanonets

APRIL 5, 2023

In the world of lending, risk management is crucial to success. But with a growing number of loan applications and an increasing number of delinquencies, how can lenders effectively manage risk without sacrificing efficiency? The answer lies in automating steps in the lending process.

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 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 90

AI Privacy Non-Bank Fraud Detection 90

Seon

MAY 10, 2024

Through automating tasks that used to take up much of an analyst’s time, case management systems can quickly highlight and prioritize the most severe alerts. This enables analysts to use their time effectively, closing alerts more swiftly and improving their risk management.

AML 52

AML Money Laundering SARS Suspicious Activity Report (SAR) 52

Clearly Payments

NOVEMBER 28, 2023

AI’s capacity to analyze extensive datasets is revolutionizing risk management, fraud detection, and customer service within the banking industry. Exploring the potential of digital currencies requires careful consideration of regulatory frameworks, security measures, and consumer education.

Digital Currency 52

Digital Currency Central Bank AI Innovation 52

Fintech Review

NOVEMBER 12, 2024

White Labeling and Co-Branding In a white-label model, fintechs provide the technology and expertise, while banks manage regulatory compliance and branding. For example, a fintech may create a digital wallet, branded and managed by a bank. Here are three common collaboration models that have proven successful.

FinTech 105

FinTech Financial Inclusion Regulatory Compliance Compliance 105

Fintech News

DECEMBER 17, 2024

Financial institutions now are leveraging AI to solve challenges that once seemed insurmountable, from improving decision-making to creating better regulatory compliance systems. They use it for tasks such as predictive analysis, fraud detection, and performance evaluation.

AI 90

AI Audit Fraud Detection Compliance 90

The Fintech Times

DECEMBER 5, 2024

While the financial sector has often been slower to deploy new technologies than others, the proven benefits of AI – from better customer service to fraud detection – mean we can expect adoption to rapidly ramp up in 2025.” “Data is the big story in fintech” Renshaw says.

FinTech 72

FinTech Database Consumer Financial Protection Bureau (CFPB) AI 72