Question: I need a solution that helps me accept more payments without increasing fraud risk, do you know of any options?

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Vesta

If you want to improve payment processing while reducing fraud risk, Vesta is worth a look. Vesta's fraud prevention platform uses AI and machine learning to evaluate transactions in real time for maximum approval rates and lowest risk. With tools like Payment Protect and Payment Guarantee, it scores risk and protects against fraud for multiple payment types. That can help cut false declines and chargebacks, which in turn can boost customer satisfaction and revenue.

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FUGU

Another good option is FUGU. This AI-based system evaluates transactions at all stages of the payment process to spot sophisticated fraud schemes. By separating payment verification and payment acceptance, FUGU cuts false declines and captures more data points to lower operational costs. Its multi-layer fraud protection and post-purchase behavior analysis make it a good fit for e-commerce sites like Shopify and WooCommerce, letting merchants reclaim a large percentage of chargebacks.

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Riskified

For a fraud intelligence platform with a broader reach, check out Riskified. Riskified marries e-commerce knowledge with AI technology to reduce fraud and increase revenue. It evaluates dozens of data attributes to make its decisions, and offers features like Chargeback Guarantee and Policy Protect. The system is designed to lower fraud costs and raise transaction success rates, making it a good fit for companies that want to balance revenue growth with fraud protection.

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Forter

Last, Forter offers a powerful Identity Intelligence platform that offers real-time decisions for customer interactions. Its tools include Identity Protection, Fraud Management and Chargeback Recovery, all of which work together to prevent payment fraud and optimize payment authorization. Forter has a track record of lowering chargeback rates and false declines, making it a good option for companies looking to improve their digital commerce operations.

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