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

Stax

AUGUST 22, 2024

In this article, we’ll discuss what SaaS companies looking to become payment facilitators need to know about risk management strategies. PayFacs handle risk assessment, underwriting, settling of funds, compliance, and chargebacks which exposes them to greater potential risks.

Risk Management 88

Risk Management Risk Regulatory Compliance Due Diligence 88

Neopay

JUNE 27, 2024

Risk management framework: Develop a robust risk management framework that identifies, assesses and mitigates key risks associated with your business operations. This includes conducting a thorough risk assessment, implementing appropriate risk controls and establishing effective monitoring mechanisms.

Financial Crimes 52

Financial Crimes Money Laundering Compliance Crime 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. What dangers lurk in the shadows of Generative AI in Banking?

AI 111

AI Privacy Non-Bank Fraud Detection 111