Remove Compliance Remove Deepfake Remove Fraud Detection
article thumbnail

AI x Payments: From Fraud Detection to Hyperpersonalised Checkout

Finextra

Real-Time Fraud Detection: Defence at Machine Speed Traditional fraud systems rely on static rules and after-the-fact analysis. But fraud doesn’t wait, and neither can protection. Real-Time Compliance & AML Monitoring With faster payments come faster risks—and heightened regulatory expectations.

article thumbnail

LexisNexis Risk Solutions Set to Acquire IDVerse to Combat AI Fraud

Fintech News

LexisNexis Risk Solutions, a global data and analytics company under RELX, has agreed to acquire IDVerse , a provider of AI-powered document authentication and fraud detection solutions. This move will enable LexisNexis Risk Solutions to further enhance its capabilities in combating AI-generated fraud, including deepfakes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Navigating the rise of AI-enabled fraud

The Payments Association

The growing threat of AI-related fraud puts financial institutions at risk of significant financial losses and jeopardises consumer trust and compliance with regulations. By analysing large datasets, AI can quickly recognise unusual behaviours and detect fraud in real time, significantly reducing the risk of fraudulent transactions.

AI
article thumbnail

Tuum and Sumsub Team Up to Enhance Fraud Prevention for Financial Institutions

Finovate

A newly announced partnership between core banking provider Tuum and full-cycle verification platform Sumsub will give banks, fintechs, and financial institutions the ability to streamline customer onboarding and enhance fraud prevention without adding friction to the user experience.

article thumbnail

The rise of generative AI in payment security: A double-edged sword for data privacy

The Payments Association

The dual impact of generative AI on payment security, highlighting its potential to enhance fraud detection while posing significant data privacy risks. It underscores the need for payment firms to balance AI innovation with robust privacy and regulatory compliance to protect sensitive consumer data. Why is it important?

article thumbnail

Financial Crime 360 state of the industry report 2025

The Payments Association

Questions address both immediate challenges (fraud prevention, regulatory compliance, technology readiness) and forward-looking opportunities (AI implementation, collaborative defence strategies, regulatory evolution). Modern fraud prevention extends beyond loss mitigation itself. and VP/Director/Head roles representing 43.7%

article thumbnail

The growing threat of AI-enabled fraud

Neopay

According to a recent report by the National Crime Agency (NCA), GenAI represents one of the most substantial threats to the fraud landscape today. Fraudsters are exploiting GenAI tools such as large language models (LLMs), voice cloning, and deepfakes to carry out increasingly sophisticated scams that are harder to detect and prevent.

AI