Remove Bots Remove Fraud Detection Remove Fraud Prevention
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Sumsub Leverages Device Intelligence to Monitor Fraud Activity in Real Time

Fintech News

Sumsub has expanded its fraud prevention capabilities by integrating advanced device intelligence from Fingerprint, a provider of real-time device signal analysis. This allows companies to detect threats such as bot activity, account takeovers, and multi-accounting without relying on personal data or interrupting user experiences.

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Mangopay Launches New AI-driven Fraud Prevention Solution for Platforms

Fintech Finance

Mangopay , a modular and flexible payment infrastructure provider for platforms, today announces the launch of its new Fraud Prevention solution. Platforms can connect to the solution through the Mangopay product ecosystem, meaning they can easily protect themselves against fraud without any additional integration.

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Fraud Detection Platform NS8 Raises $123M In Series A

PYMNTS

Fraud detection software platform NS8 has closed a Series A funding round for $123 million, led by Lightspeed Venture Partners , a press release states. The software utilizes real-time data analytics and real-time scoring to help merchants snuff out fraud and deliver seamless transactions, the press release says.

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Kount Named No. 1 eCommerce Fraud Detection Solution

PYMNTS

Digital-fraud-protection company Kount said Thursday (May 28) that Mercator Advisory Group has named it the best eCommerce Fraud Detection Solution from among more than 40 products ranked. 1 in the detection/action and delivery categories and had the highest score overall — 4.58 Kount placed No. Kount placed No.

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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.

AI 64
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The growing threat of AI-enabled fraud

Neopay

Despite the rising risk, less than a quarter (22%) of financial institutions have implemented AI-driven fraud prevention measures, highlighting a significant vulnerability. Advanced detection tools: Leveraging AI-driven fraud detection systems that can identify suspicious patterns and anomalies.

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AI/BOTS: Machine Learning Tips Online Fraud Scales

PYMNTS

The increased use of machine learning was found to be one of the main contributing factors in helping to reduce fraud across most industries, except for department stores and jewelry stores.

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