Remove Blocks Remove Bots Remove Fraud Detection
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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. Behavioural biometrics distinguish real users from bots or synthetic identities. Machine learning models adapt on the fly.

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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

This broad applicability in banking (from automating fraud reviews to generating customer communications) underscores how financial firms are integrating GenAI into their core workflows more aggressively than most. Indeed, 64% of finance leaders report using AI for fraud detection and risk management in their institutions.

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Deep Dive: QSRs Leverage AI To Fight ATOs And Credential Stuffing

PYMNTS

Many chains have thus been turning to fraud detection programs driven by artificial intelligence (AI) to make the most of their limited prevention resources, leveraging various techniques to stop bad actors’ advances. Many QSRs and third-party ordering apps are thus already using these tools to enhance their fraud detection procedures.

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Top 5 fraud trends affecting high-risk merchants in 2025

The Payments Association

Impact on high-risk merchants: Crypto Exchanges and Digital Goods: AI-powered bots are being used to create fake accounts and initiate fraudulent transactions, leading to unauthorised chargebacks. helps: Near real-time fraud detection: By leveraging combined alerts from Ethoca and Verifi, avoided.io How avoided.io How avoided.io

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The Ordering Innovations Attracting Restaurant Customers

PYMNTS

One of the most promising tools QSRs leverage to fight fraud is artificial intelligence (AI), which studies have found can increase fraud detection rates by 50 percent and reduce false positives by 60 percent.

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Filtering Out the Fraudsters: Putting Device Intelligence to Work

Seon

By using thousands of real-time device signals, from geolocation and IP information to behavioral data such as battery life, phone orientation and font count, suspicious setups and settings across desktop and mobile devices can be flagged and blocked.

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The Dual Path: Boosting Profitability & Security in iGaming 

Seon

Focusing on combating key issues like bonus abuse, multi-accounting, bot activity and affiliate fraud, we’ll examine the attack vectors that can diminish trust and financial stability if they are not addressed efficiently. Can You Spot the Bot?